Veja vagas remotas de TI que aceitam candidatos em Estados Unidos.
Esta página reúne vagas remotas abertas para candidatos em Estados Unidos. Isso evita perder tempo com posições que parecem remotas, mas restringem contratação por país, fuso horário, folha de pagamento ou política interna.
Combine país e tecnologia para comparar cargos por stack, senioridade, países aceitos e prontidão para aplicação.
Block · 11003 Risk - Prod Dev - Square
Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Block · 10109 Risk - Risk ML & DS
Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Block · 10416 Engineering - Business Platform
Drive AI-First Development: Embed AI-assisted development tools (Cursor, Claude, GitHub Copilot) into your daily workflow to accelerate code generation, automate testing, and elevate delivery velocity.
Airbnb · Software Engineering
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Airbnb · Software Engineering
Define and execute on the long-term ML technical vision and strategy for the Trust organization, identifying key investments, architecting scalable solutions, and championing best practices that advance the state-of-the-art in production
Airbnb · Software Engineering
As a machine learning engineer or scientist, your expertise will be pivotal in developing AI-powered solutions to shape the future of the Airbnb agentic growth platform with cutting-edge AI techniques.
Instacart · Data Science
Own analytical frameworks that guide the product roadmap.
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Affirm · Infrastructure Platform Eng
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark to deliver scalable, high-performance analytical infrastructure.
Samsara · Platform
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Samsara · Platform
Design, build, and operate high-scale data ingestion and replication systems from Samsara’s primary production data stores, including RDS, DynamoDB, internal APIs, and event-driven systems, into our data lakehouse.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Platform
You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact – helping to keep the lights on, get food into grocery stores, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Samsara · Business Systems
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Calendly · Engineering
Builds new AI products for Calendly’s customers, bringing new capabilities to life.
Calendly · Engineering
Drives business insights, strategic decision making, executive level and cross organizational business growth, and magical customer experiences for our end customers through impactful innovation.
Databricks · Field Engineering - FE Direct Regulated
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Enterprise
REQ ID FEQ327R527 As a Sr. Solutions Engineer at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Enterprise
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - Other
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Regulated
You work with multiple clients as the main technical voice for Databricks.
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
Databricks · Field Engineering - FE Direct Emerging
Provide technical leadership to guide strategic customers to successful implementations on big data projects and large-scale data warehousing workloads.
Databricks · Field Engineering - FE Direct Enterprise
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - Other
10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
Databricks · Field Engineering - FE Direct Regulated
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering
You work with multiple clients as the main technical voice for Databricks.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Enterprise
Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
MongoDB · Solutions Consulting
Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
Mozilla · Core Services
Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Mozilla · Core Services
Own the analytical strategy for a product area: identifying the highest-leverage questions, defining the measurement framework, and ensuring data-driven decisions
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Mozilla · Core Services
Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Sales Operations
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Grafana Labs · Marketing
Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
Datadog · Community
Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
GitLab · Data Engineering
Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams.
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Databricks · Professional Services Operations
Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
Instacart · Software Engineering
You will be part of a small team with a large amount of ownership and surface area, given that the tooling is used by the entire company.
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Instacart · Customer Experience & Operations
Program Operations: Operate the QA cadences end-to-end — daily anomaly standups, weekly quality reviews, monthly business reviews, and quarterly rubric calibration sessions.
Instacart · Customer Experience & Operations
Program Operations: Operate the QA cadences end-to-end — daily anomaly standups, weekly quality reviews, monthly business reviews, and quarterly rubric calibration sessions.
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Emerging
You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Databricks · Field Engineering - FE Direct Regulated
Partner with the sales team to help customers understand how Databricks can help solve their business problems
Samsara · Revenue Operations
You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly
Nextgen Invent Corporation · Data Science
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for structured and unstructured data.
OPTION · Developer
Participar en proyectos desafiantes enfocados en la optimización de costos en plataformas cloud a gran escala.
Sonny's Enterprises LLC
Build and maintain feature pipelines, training datasets, and forecast workflows for revenue, demand, delivery timing, customer behavior, inventory risk, process performance, and operational planning use cases.
Codea IT · Data Science
Migrar y optimizar datamarts a Snowflake.
Reality Defender · Data Science
Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.
Swish Analytics · Data Science
Support production systems and help triage issues during live sporting events
NinjaHoldings · Data Science
Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work
XKTalent Inc. - Rimutee · Data Science
📌 What You'll Bring ✅ 5+ years of experience in designing and building scalable data lakes in cloud environments. ✅ Advanced programming skills in Python or Java.
Sedgwick · Data Science
Designs, builds, and maintains resilient ETL/ELT pipelines that ingest data from on‑premise systems, AWS services (S3, RDS), and Azure platforms (Blob Storage, Azure SQL)
Glint Tech Solutions LLC · Data Science
7–10 years of experience in Data Engineering Strong SQL and programming skills (Python/Scala/Java) Experience with big data tools and cloud data platforms Knowledge of data modeling and schema design Originally posted on Himalayas
Spring Venture Group · Data Science
Build advanced data pipelines utilizing the Medallion Architecture to create high-quality data sources in Snowflake.
Bloomerang · Data Science
Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics
Busigence Technologies · Data Science
This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere) Immediate joiners must apply Data Engineering
Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics.
Lifelancer · Data Science
Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting.
Quanata, LLC · Data Science
Bachelor's degree or equivalent relevant experience and
Pearl Talent · Data Science
3+ years working with production PostgreSQL databases
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
S5 Stratos · Data Science
Develop and automate large scale, high-performance data processing systems (batch and/or streaming)
Saga · Data Science
Build and scale data pipelines for product events, usage data, and customer datasets.
GOAT Group
Own the full lifecycle of predictive models in production — architecture, training pipelines, inference infrastructure, deployment, and ongoing model health
Ursa Space Systems · Data Science
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.
Parsons Corporation · Data Science
Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and enrich large volumes of chemical and biological threat data from diverse sources.
WellSky · Data Science
Design, implement, and optimize robust, scalable data pipelines using GCP services such as BigQuery, Cloud Dataflow, Cloud Dataproc, and Cloud Composer(or airflow).
Hopscotch Primary Care · Data Science
Architect, build, and maintain our data model, data pipelines, and data access layer that support our care delivery, operations, and analytics in collaboration with the data platform team.
Boulevard
Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience.
WiselyWise · Data Science
Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.
Curotec · Data Science
Build and maintain Python Notebooks to ingest data from third-party APIs
Koantek · Data Science
Guide Big Data Transformations:Implementation of comprehensive big data projects, including the development and deployment of innovative big data and AI applications.
Architect, implement, and maintain Azure cloud infrastructure using Infrastructure‑as‑Code (Terraform, Bicep, or ARM).
GOAT Group · Data Science
Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards
8allocate · Data Science
Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.
Design, develop, and deploy forecasting models (time-series, demand forecasting, regression-based) for product demand, pricing trends, and quotation accuracy using GCP-native services (Vertex AI, BigQuery ML).
DriveTime · Data Science
Owning the design and development of robust dbt Core models that transform raw data into trusted, analytics‑ready datasets in Snowflake
Ensemble Health Partners · Data Science
Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
Fieldwire by Hilti · Data Science
Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses
Malvern Panalytical · Data Science
Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.
GenLogs Corporation · Developer
Build core product experiences including ReactJS portals, Flask-based APIs, and batch interfaces used across all GenLogs applications.
Marktine Technology Solutions Pvt Ltd · Data Science
and skills: Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g.
AAA · Data Science
Every day you will independently work on design and develop solutions to issues across the business. Our team’s success isn’t just implementing the code but seeing that those insights are implemented by the business
Toast · Data Science
Collaborate with domain teams to implement a hub & spoke data architecture
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Button · Data Science
Own the full ML lifecycle including feature pipelines, training workflows, model deployment, inference services, monitoring, and retraining.
Omada Health · Developer
Data Architecture: Design, develop, and implement scalable, secure, and efficient data solutions that meet the needs of the organization.
SumerSports LLC · Developer
Build and operate the LLM Platform
Crowdstrike · Data Science
Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.
Alt.xyz · Data Science
Design, optimize and own data pipelines that scrape, process and ingest transaction and listing data from major auction houses and marketplaces.
Foodsmart
Lead the optimization and scalability of data delivery pipelines, ensuring performance and reliability for cross-functional stakeholders.
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
Epic · Developer
Drive the reliability of Epic's infrastructure—set and track SLOs/SLIs, reduce toil, and engineer out recurring instability.
SHI International Corp. · Data Science
Design, develop, and implement scalable data pipelines and software solutions to support data engineering and analytics needs.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AI operations platform
AbbVie · Data Science
Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
Kobie Marketing
Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture, ensuring reliability, scalability, and clear ownership.
Valtech · Data Science
A curious problem solver who challenges the status quo
Brillio · Data Science
Build and deploy ML and CV models using Python.
Tergar International · Data Science
Design, build, and maintain reliable and scalable ETL (extract, transform, load) pipelines to collect, process, and store large volumes of structured and unstructured data from multiple sources.
TetraScience
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
Waymark
Bold Builders: We tackle the toughest challenges in care delivery by harnessing the power of community and technology.
Canary Technologies
Define and enforce best practices for secure coding, dependency management, and design reviews across engineering teams
Database architecture and design of data warehouses & data marts to support presentation layers elastic cubes, reporting and analytics.
Factored
Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.
Teravision Technologies · Data Science
Fully remote position.
Machinify
Lead discovery & technical due diligence — get to the bottom of poorly documented legacy systems (ETL, stored procedures, reporting layers, file feeds), reconstruct the business logic, and capture it in the lineage maps
Correlation One
Develop long-term technical vision for the team
Inizio Partners Corp · Data Science
Pipeline Development: Build and automate end-to-end machine learning pipelines from data ingestion to model deployment.
Design and stand up the organization's data and AI platform from the ground up — architecture, compute, storage, and the lakehouse foundation.
3Pillar Global · Data Science
Design and implement advanced PostgreSQL schemas with row-level security (RLS) for multi-tenant applications.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Military, Veterans and Diverse Job Seekers · Developer
Five years of experience working in data engineering or architecture role,
B3 Consulting Poland · Data Science
Building and maintaining a data platform for the public transport industry — designing scalable ELT pipelines in BigQuery using dbt, handling real-time data (GTFS-RT)
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Privia Health · Data Science
Pipeline Development: Design, build, and maintain data pipelines that ingest, transform, and deliver healthcare data (payer files, claims, attribution, eligibility) through staging, transformation, and mart layers.
3Pillar Global
Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
HelioCampus · Data Science
Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python.
Inizio Partners Corp
The candidate must have complete understanding with hands-on experience in design, coding, and testing aspects
Ziply Fiber
Genuinely Caring:We treat customers and colleagues like neighbors, with empathy and full attention.
FinTrust Connect · Data Science
Build scalable ingestion and transformation with tests and documentation
Inizio Partners Corp · Developer
Create and maintain optimal data pipeline architecture,
SunStrong Management, LLC
Design, build, and operate end-to-end data pipelines (batch and near-real-time) that ingest, transform, and deliver data from diverse sources into the enterprise data platform.
Building and maintaining production-grade data pipelines in cloud data warehouses such as Google BigQuery or equivalent, following architectural standards set by the Director of Data and AI.
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
ENSEK · Developer
Lead and manage team of data engineers, across either core data products or finance assurance
Foodsmart · Data Science
Define and own the strategic architecture of Foodsmart's data platform, setting the technical direction for scalable, reliable, and governed data infrastructure.
INflow Federal · Data Science
Design, implement, and maintain data pipelines and ETL processes supporting ingestion, transformation, and validation of mission data
Peraton · Data Science
Develop, train, and evaluate ML models (classification, regression, clustering, anomaly detection) and contribute to LLM-based capabilities such as RAG pipelines and prompt evaluation.
Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure.
BPM LLP · Data Science
Strong background in machine learning, data science, and applied AI.
Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics.
MediaRadar · Data Science
Build and operate pipelines: Design, build, and optimize robust ETL/ELT pipelines that move and transform millions of daily data points reliably and efficiently.
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
Data Ideology · Data Science
Design and build scalable, secure, and cost-effective data solutions in Snowflake.
KinderCare Education, LLC
Databricks-Native ML Development: Design, develop, and deploy machine learning solutions using Databricks technologies including PySpark, Spark SQL, MLflow, Feature Store, AutoML
Design, develop, and maintain full stack applications, including modern web user interfaces, backend services, and API based integrations.
OpenTeams · Data Science
Design and build of ETL processes in collaboration with software and model development teams.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
TheHiveCareers · Data Science
and delivery of robust and complete roadmap Assess data to determine strategic approach to data management and identify data dictionary Identify data security
VillageMD
Understand and influence logging to support our data flow, architecting logging best practices where needed.
Root, Inc. · Developer
Partner with Finance, Product, Data Science, Analytics, and experts in the Insurance group to set the strategy for the quarters to come.
Goodway Group
Build modern web applications - Design, develop, and maintain full-stack applications using React, JavaScript/TypeScript, Node.js, and AWS technologies.
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Hone Health · Data Science
Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
Rackner · Data Science
Build and maintain end-to-end Ingest → Transform → Expose pipelines using Airflow, Spark, dbt, and Iceberg.
Doximity · Developer
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
3Pillar Global
Understanding the business requirements
Teladoc Health · Data Science
Build production ready time series models to predict real time KPIs as well as build optimal decision actions to manage the provider network for clinical operations business optimization
Architect, upgrade, design, and build scalable infrastructure solutions leveraging Kubernetes, AWS, RDS (MySQL/Postgres), and modern distributed patterns.
Fortune Brands
Developing & maintaining ETL/ELT pipelines
Innovatus Technology Consulting · Data Science
Design, develop, and maintain scalable data pipelines to ingest, transform, and curate logistics, maintenance, and supply chain data from multiple USMC systems.
Abridge · Builder
Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
Privia Health
Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.
Redstone Federal Credit Union · Data Science
Build, maintain and improve the enterprise data warehouse. Monitor & improve performance, implement patches and upgrades, minimize database downtime and manage parameters to provide fast query responses.
Design, train, and deploy computer vision models to production with well-understood performance, latency, and cost characteristics.
Ardent MC · Data Science
Data Engineering & Pipeline DevelopmentDesign, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
Design and deliver product data products on Databricks — owning ingestion, transformation, and serving layers across the medallion architecture (bronze/silver/gold) to produce certified datasets consumed across product, analytics
ICF · Developer
Review and analyze business requirements to produce comprehensive, and well-structured test strategy and test cases.
Design and oversee the implementation of an Operational Data Store (ODS) to provide a unified, real-time view of production data.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.
Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
Dorle Controls LLC · Data Science
, and designing scalable data lake and data warehouse solutions. Experience across multiple data platforms (Databricks, Snowflake, Azure Data Factory, Synapse, etc.) is a strong advantage. Key Responsibilities 1.
Centene Corporation
Design, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.
Bixal · Data Science
Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution
NirYu · Data Science
Build new structured datasets, including scraping accelerators, Form D filings and dynamic web sources.
VirtusLab
Strong Python and production ML skills, with a proven track record of shipping models into real production pipelines.
Astrana Health · Data Science
Put Patients First
Bright Vision Technologies
Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies, ensuring reliable, efficient
Spokeo
Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.
goPro Consultancy Group ltd. · Data Science
Collecting large, complex sets of data that meet non-functional and functional business requirements
Everfi
Own the design, architecture, and implementation of complex data engineering initiatives on the team — including advanced pipeline development, data platform architecture
Verantos
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Optimize Inference: Build and tune production LLM serving with vLLM and SGLang—maximizing throughput and minimizing latency through batching, paged attention, quantization, and KV-cache strategies
Striveworks · Data Science
Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
Honor · Data Science
Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.
Beacon Biosignals
You partner with product managers, internal stakeholders, and other development and support teams to design new integrations, services, and solutions for scaling Beacon's data platform
Doximity · Developer
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
Own ML solutions end to end — framing the business problem, exploring data, training and evaluating models, and iterating based on rigorous error analysis — through to production deployment and monitoring
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Pipeline Automation: Design, implement, and manage automated CI/CD and Continuous Training (CT) pipelines for machine learning model development, evaluation, and delivery.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
Wurl, LLC
Evolve and streamline Wurl’s data ETL processes, Business Intelligence dashboards (internal and external) enhancement, data workflows (with emphasis on scale, security, maintainability, and validation), data warehousing processes
AB InBev · Data Science
Knowledge of Azure cost drivers (AWS/GCP is a plus).- Ability to prioritize initiatives by ROI and business impact.- Strong problem-solving and execution in fast-paced environments.
Nebius · Data Science
Design, develop, and maintain scalable data pipelines.
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
Nagarro · Data Science
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Architect Scalable Cloud Solutions: Lead the design and implementation of end-to-end GCP-based architectures covering data, applications, infrastructure, and security.
McKesson
Experience in data engineering with Databricks and AWS
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
Senior-level fullstack engineering experience
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
C the Signs
Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.
SugarCRM
Own Databricks production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across all production data flows
Stride, Inc. · Data Science
Applies expertise in applied AI, model, API, and pipeline creation, as well as the presentation of data to see beyond the numbers and understand how our users interact with our core products
Forterra · Data Science
The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform.
General Dynamics Information Technology
Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows
DAS42 | Data & Analytics Consultancy
Guide clients on optimizing their data environment to work most effectively and efficiently for them. Clarify management objectives through data solutions.
Integres, LLC
5+ years of experience in data engineering
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
Valce Talent Solutions · Data Science
Design and Develop ML Models for high impact engineering solutions. Build, train, and optimize machine learning and deep learning models to solve complex problems using natural language processing, computer vision
Quantiphi
21 Google Cloud Partner of the Year awards in the past 10 years
TetraScience
Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences.
MediaRadar
Team Leadership & People Management: Lead, manage, and grow a distributed team of data engineers (across North America and India) who report directly to you.
Allata · Data Science
Design, develop, and maintain scalable data pipelines using modern distributed data processing platforms and cloud environments.
Guidehouse · Data Science
Design, develop, and deploy end-to-end AI/ML applications, with a focus on Retrieval-Augmented Generation systems, AI chatbots, and agentic workflows.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Dimensional Fund Advisors · Developer
Are open-minded, curious, and resourceful
Janea Systems · Data Science
Design scalable data pipelines and infrastructure for enterprise ML systems
Sparteo
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
Guidehouse · Data Science
Design and implement batch and streaming ingestion from APIs, relational databases, file drops, event streams, and external partners.
NBCUniversal · Data Science
Support partner onboarding into clean room environments across platforms such as Snowflake, LiveRamp, Databricks, or similar technologies.
Top Us Wealth Management Firm · Engineering
Design and implement Python Data Engineering solutions
NirYu · Data Science
Develop and deploy Computer Vision and Machine Learning solutions to solve business problems.
Cutsforth, LLC · Data Science
Regularly design, develop, and maintain data pipelines that support operational, analytical, and machine learning workloads
Sparklight Enterprise · Data Science
Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs.
General Dynamics Information Technology
Design, build, and operate scalable end-to-end data pipelines and curated data products that support enterprise analytics and agentic AI use cases
Imagine Pediatrics
Design and build scalable, well-tested DBT models.
Nex · Data Science
Connect with cross-functional teams: The data environment we’re building will be used by members of the Accounting, Finance, Supply Chain, and Publishing teams, among others.
New Flyer
Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support
Shipwell
Collaborate closely with our engineering, analytics, data science, and product teams as we take our machine learning projects and infrastructure to the next level
Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation
Confluent · Product
Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products.
Lemon.io · Development
4+ years of software development experience
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
MotherDuck · Customer Success
Partner with Account Executives to lead the technical side of sales, from discovery through to technical win.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Lemon.io · Development
The rate depends on your skills and experience. We've already paid out over $11M to our engineers.
1Password · Technology
You have a passion for designing, implementing, and operating stable, scalable, and efficient data systems
Replit · Engineering
Build the analytical foundation to evaluate compensation competitiveness. Connect Ashby offer data, band position, acceptance rates, and market benchmarks into a live system that recommends specific adjustments.
Prefect · Go To Market
Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions
Deepgram · Engineering
Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.
Perplexity · AI Research & Systems
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
Abridge · Builder
Conduct quantitative evaluations of Abridge models and products using data from real-world deployments, offline evaluations, and customer feedback
Replit · Engineering
Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
Prefect · Product
Develop and execute comprehensive event strategies across all Prefect products, including program mix, calendar planning, and audience targeting
Abridge · Operations
Extract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external data.
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