Revisa oportunidades remotas de CI/CD y confirma ubicaciones aceptadas antes de aplicar.
Esta página reúne roles remotos con elegibilidad de ubicación visible para profesionales de desarrollo, datos, DevOps, QA, soporte y otras áreas de TI.
Usa CI/CD como filtro de stack sin cambiar los nombres originales de los cargos, comparando seniority, países aceptados y preparación para aplicar.
Instacart · Software Engineering
Technical leadership and 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 · 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
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 · 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
Twilio · Business Intelligence
Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
Twilio · Business Intelligence
Data Analysis and Interpretation: Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
Axios · Product, Design & Tech
Own the Gold layer of the medallion architecture: define, version, and maintain business metrics and semantic models.
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
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
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.
Codea IT · Data Science
Migrar y optimizar datamarts a Snowflake.
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
Bloomerang · Data Science
Lead the end-to-end design, development, and implementation of enterprise data warehouse solutions supporting corporate analytics
Quanata, LLC · Data Science
Bachelor's degree or equivalent relevant experience and
Ursa Space Systems · Data Science
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.
Boulevard
Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience.
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).
DriveTime · Data Science
Owning the design and development of robust dbt Core models that transform raw data into trusted, analytics‑ready datasets in Snowflake
Omada Health
Want to make a difference in how people manage real life health problems.
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
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.
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.
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
1Password · Technology
5+ years in analytics or data engineering, with 3+ years focused on analytics engineering and production DBT development
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.
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
Factored
Cross-Functional Stakeholder Leadership: Translate complex business requirements into technical AI specifications in collaboration with product, operations, and business teams.
Nourish
Own and improve data ingestion and orchestration across our modern data stack.
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.
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.
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.
iHerb
Designs and builds scalable data extracts, integrations, transformations, and data models.
Ziply Fiber
Genuinely Caring:We treat customers and colleagues like neighbors, with empathy and full attention.
RoadRunner
75% - Manage, lead & mentor our Platform Engineers
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
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.
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.
ICF · Data Science
Design, build, and maintain data pipelines and ETL/ELT processes supporting large-scale federal data systems
Stravito
Build and operate data pipelines that move event streams, document metadata, and usage data into our cloud data warehouse (ClickHouse Cloud, Snowflake, Azure)
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.
Compass Group USA
Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
VillageMD
Understand and influence logging to support our data flow, architecting logging best practices where needed.
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.
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.
KATBOTZ · Data Science
Build and maintain ML pipelines for training, testing, and deployment
Privia Health
Pipeline Engineering: Design, develop, and maintain resilient, scalable, and efficient end-to-end data pipelines.
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.
Athos Commerce · Data Science
A highly collaborative team player who enjoys solving complex data problems • Passionate about building scalable and reliable systems
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
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
Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently.
Striveworks · Data Science
Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
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
Omada Health
Want to make a difference in how people manage real life health problems.
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
VSP Vision · Data Science
(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business
Shift5 · Data Science
Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
McKesson
Experience in data engineering with Databricks and AWS
Senior-level fullstack engineering experience
Bright Vision Technologies
Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
Collectiv · Data Science
Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
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.
Quantiphi · Developer
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
Appsilon · Data Science
Design, build, and maintain scalable data pipelines across diverse environments.
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.
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.
Fora Financial · Data Science
Data platform architecture: ingestion patterns, warehouse design, environment strategy, orchestration, access governance, and reliability standards.
PointClickCare
Own the gold data layer. Transform messy, silver tables into curated, semantically rich, clean and documented gold datasets suitable for AI model development, including datasets and features reusable for AI development across projects.
OneSix · Data Science
Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.
Imagine Pediatrics
Design and build scalable, well-tested DBT models.
Airbyte · Technical Support
Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.
Airbyte · Technical Support
Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.
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
Replit · Engineering
Design, implement, and maintain scalable infrastructure that supports growth and experimentation needs.
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