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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 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 · 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 keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.
Databricks · Engineering - Pipeline
BS in Computer Science, related technical field or equivalent practical experience.
Databricks · Engineering - Pipeline
BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Databricks · Engineering - Pipeline
BS in Computer Science, related technical field or equivalent practical experience.
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 · 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
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
Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction
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
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 · Engineering - Pipeline
BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Databricks · Engineering - Pipeline
BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Databricks · Engineering - Pipeline
BS (or higher) in Computer Science, related technical field or equivalent practical experience.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
Databricks · HQ Management
Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team.
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 · IT
Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
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
Grafana Labs · R&D: Second Horizon
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Grafana Labs · R&D: Second Horizon
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
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 · 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 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
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)
Spring Venture Group · Data Science
Build advanced data pipelines utilizing the Medallion Architecture to create high-quality data sources in Snowflake.
Lifelancer · Data Science
Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting.
McKesson · Data Science
Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Ursa Space Systems · Data Science
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.
Marktine Technology Solutions Pvt Ltd · Data Science
Understand business requirement and actively provide inputs from Data perspective.
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.
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.
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
goPro Consultancy Group ltd.
Collecting large, complex sets of data that meet non-functional and functional business requirements.
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).
Madiff · Data Science
Design, build, and monitorETL pipelinesusingAzureandSpark technologies
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.
TapMango · Data Science
Building ETL/ELT pipelines that ingest, transform, and serve data at scale
SumerSports LLC · Developer
Build and operate the LLM Platform
SumerSports LLC · Data Science
Build and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Dagster.
SHI International Corp. · Data Science
Design, develop, and implement scalable data pipelines and software solutions to support data engineering and analytics needs.
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.
Brillio · Data Science
Build and deploy ML and CV models using Python.
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.
Privia Health · Developer
Product-Driven Engineering: Design, build, and maintain high-performing rails and javascript applications that power core application features and support our mobile applications
Logicalis Spain · Data Science
Diseñar, desarrollar y mantenerpipelines de datos utilizandoAzure Data Factoryydbt.
Trilon Group · Data Science
Serve as the primary owner and technical steward of the Trilon enterprise data platform
Design and stand up the organization's data and AI platform from the ground up — architecture, compute, storage, and the lakehouse foundation.
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
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.
BPM LLP · Data Science
Strong background in machine learning, data science, and applied AI.
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)
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.
Penn Foster · Data Science
Developing Python, SQL, and PySpark based applications and data flows in Databricks
CenterWell Senior Primary Care
Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience.
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
Rapinno Tech · Data Science
Any experience with operational data science, machine learning or artificial intelligence solutions
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.
KATBOTZ · Data Science
Build and maintain ML pipelines for training, testing, and deployment
Cotiviti · Data Science
Create, maintain and execute intermediate to advanced Spark scripts for data management and data validation, and data integration.
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 operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery
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.
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
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
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
Bitful · Data Science
Work in an Azure data warehouse environment, which includes developing database designs and architecture, data modeling and metadata repository creation
Manufacturing 8–10 years in manufacturing (optional) with hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
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
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.
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.
ShyftLabs · Data Science
Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.
Akumin
Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies
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
General Dynamics Information Technology
Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows
Quantiphi · Developer
Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments
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
CONVOTIS Schweiz AG · Data Science
Al menos 3 años de experiencia laboral.
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.
ShipBob
Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback.
Anteriad · Data Science
Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.
Janea Systems · Data Science
Design scalable data pipelines and infrastructure for enterprise ML systems
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.
Magoya
Soporte y mantenimiento de un data warehouse en SQL Server con pipelines complejos
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.
True Tandem
Conduct discovery and assessment of customer’s legacy data sources to document data structures, dependencies, and data quality issues.
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.
Logicalis Spain · Data Science
Experiencia semi-senior trabajando con tecnologías de Business Intelligence de Microsoft, incluyendo desarrollo ETL con SSIS y creación de informes en Power BI.
All Your BI · Data Science
Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.
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
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.
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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