Top Data & Analytics Jobs

Design, implement, and support Level 3/Level 4 data management, historians, and reporting solutions using industrial platforms. Integrate plant systems (DeltaV, OPC, Modbus, SQL), lead projects, author proposals, support deployments, and advise on data integrity, analytics, and visualization best practices.

Design and deliver scalable data platforms and pipelines, enable data science teams, and implement best practices in automation and governance.

The Data Engineer II will design and maintain ELT pipelines to support analytics across Sony Pictures. This role involves collaborating with stakeholders, delivering data models, ensuring data integrity, and driving agile project delivery within a team environment.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

The Principal Data Engineer will lead complex data projects, design robust data pipelines, and drive architectural strategy for a scalable data ecosystem, while mentoring other engineers and ensuring the quality and usability of data solutions.

The Data Engineer will support Data Analytics and Business Intelligence efforts, developing data pipelines, ensuring data performance, and collaborating within Agile frameworks to meet complex requirements for federal clients.

The Data Engineer will develop data pipelines, support data automation, collaborate with Agile teams, and ensure data reliability and performance. The role requires strong ETL skills and experience with relational databases, big data analysis, and CI/CD practices.

The Data Engineer will develop data pipelines, manage complex data sets, and ensure data reliability while collaborating within an Agile/Scrum team.

The Data Engineer will develop data pipelines, support Agile team collaboration, ensure data extraction performance, and promote process automation.

The Data Engineer develops data pipelines, supports Agile teams, ensures data performance, advocates for lean practices, and collaborates across functions to deliver insights for federal customers.

The Data Engineer will develop data pipelines, support Agile teams, ensure data performance, and collaborate to implement complex requirements for federal customers.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.

The Data Engineer will develop data pipelines, support automation, and collaborate within an Agile team to manage complex data sets, ensuring performance and reliability in data processing.

Responsible for developing data pipelines, ensuring data extraction performance, and collaborating in an Agile team to provide data-driven solutions.

This role involves developing data pipelines, ensuring data performance, automating processes, and collaborating within Agile teams to meet complex data requirements.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The Data Engineer will design, develop, and optimize data platforms for analytics and machine learning, ensuring high-quality data solutions.

Design, build, and maintain scalable data processing pipelines and infrastructure (ETL/ELT). Implement large-scale data processing (Spark, MapReduce, Kafka), support stakeholders with analysis and reporting, ensure secure multi-region data handling, and optimize data delivery for analytics and business insights.

Own and build the end-to-end data layer: extraction pipelines from messy supplier emails and PDFs, the unified data model, reliable observable pipelines, and ML-driven extraction evaluation. Drive extraction accuracy, data quality, lineage, monitoring, and automation to scale coverage and enable engineering and product to depend on the data layer.

Designs and delivers complex data solutions and pipelines for operational and analytical systems. Builds, tunes, and integrates Hadoop ecosystem components; develops containerized applications, deploys scalable ML models, and contributes to testing and performance analysis. Collaborates with stakeholders, product owners, and engineering teams to implement data requirements and troubleshoot issues.

Build and operate AndHealth's data ingestion, transformation, and warehouse infrastructure. Own scalable, idempotent pipelines, data quality and observability, orchestration and SLAs, BigQuery performance and cost optimizations, healthcare source integrations, HIPAA-compliant security, and platform-level data contracts and runbooks.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

The Data & AI Engineer III will lead cloud data engineering solutions, develop data infrastructure, establish architectures, mentor team members, and secure data around cloud systems.

Design and develop Azure cloud-native data solutions, lead a team of data engineers, and enhance data pipelines with a focus on AI-powered solutions and best practices.