Top Hybrid Data Engineering Jobs

The role involves designing and building scalable data products, translating business needs into trusted data, and maintaining data quality for analytics at Upside.

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

As a Senior Data Engineer, you will design and develop data pipelines, ensure data quality, and collaborate on advanced analytics projects within the Applied Research team at Cox Automotive.

Interns will assist with building dashboards, creating machine learning models, and modernizing data systems while collaborating with stakeholders across MetLife.

The role involves building scalable data pipelines, optimizing ETL workflows, designing data schemas, and ensuring data quality and governance while collaborating with cross-functional teams.

The Analytics Engineer develops data models and KPIs, ensuring data reliability for decision-making while collaborating across multiple departments at Crexi.

As a Senior+ Agentic Analytics Engineer, you will design and deploy AI systems that provide actionable insights, build analytics tools, and manage the analytics-to-action pipeline to drive business decision-making using AI.

The Lead Data Specialist will shape data architecture and strategies for Dealer ERP, design scalable cloud-native solutions, and collaborate with cross-functional teams to meet business needs.

The Data Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.