Top Senior Data Engineer Jobs

Designs and implements data ingestion and transformation processes, automates quality checks, and maintains data pipeline reliability while supporting cloud integrations and Agile practices.

Design and implement data patterns, automate quality checks, and improve pipeline reliability. Develop streaming data applications and maintain infrastructure as code.

Designs and implements data patterns, automates quality checks, and ensures pipeline reliability. Collaborates on data ingestion, develops streaming applications, and maintains infrastructure as code while supporting user needs.

Design and implement reusable data patterns, automate quality checks, and enhance pipeline reliability, while developing streaming data applications and overseeing data integration.

Design and optimize database architecture and data models, implement data pipelines, develop solutions on cloud platforms, ensure data quality, manage projects and mentor junior engineers.

The Principal Data Engineer will lead data engineering efforts on public cloud, design scalable solutions, build data pipelines, and drive deliverables with a high level of technical expertise in relevant technologies.

Create and maintain data capabilities across the Advisor360° platform, building scalable data pipelines, updating integration capabilities, and troubleshooting systems.

Design and operate scalable data systems for People Analytics, ensuring reliability and privacy of sensitive employee data. Collaborate with leadership to create data products for decision-making.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

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

Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.

Design and implement ETL pipelines, optimize data systems, build data warehouses, and develop AI/ML models for data solutions. Collaborate with teams to deliver data-driven products and ensure data quality and governance.

The Distinguished Data Engineer will lead efforts in data architecture, manage large datasets, and collaborate cross-functionally to develop innovative solutions using cloud technologies.

The Senior Data Engineer will design and execute data management strategies, build cloud solutions, develop data pipelines, and ensure data quality and integrity.

As a Data Engineer, you will design, implement, and maintain data systems for Notifications at Whatnot, ensuring data quality and performance while collaborating with cross-functional teams on data architecture and workflows.

Distinguished Data Engineers at Capital One enhance engineering practices, mentor peers, and lead in data architecture and applications development, primarily utilizing AWS.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.

The Distinguished Software Data Engineer role involves driving data architecture and engineering solutions, mentoring teams, and influencing technology adoption to enhance Capital One's data strategy.

The Principal Data Engineer will develop scalable data pipelines, manage data infrastructure across AWS, Databricks, and Snowflake, and enforce data quality and best practices.

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

Lead the design of scalable data architectures, optimize data processing workloads, and mentor talent while promoting modern technologies and engineering excellence.

The Senior Data Engineer will design and build scalable data lakehouse solutions, integrate data pipelines, develop data models, manage AWS infrastructure, and collaborate with teams to enhance the data platform.