Top Data Engineering Manager Jobs

The Senior Manager, Data Engineering oversees data engineering efforts, focusing on intelligent foundations and experiences. They are responsible for leading teams and optimizing data solutions.

Lead a data engineering team, oversee cloud infrastructure, drive best practices, mentor staff, and align engineering goals with business objectives.

The Senior Manager of Data Engineering will build a data platform, lead a team, and ensure data accessibility to support AI and business operations.

The Senior Engineering Manager will lead the Data Fabric team, managing data infrastructure and engineering teams while ensuring data quality and governance, driving strategic influence across the company, and fostering a high-performing culture.

The Engineering Manager leads the Data Engineering team at Upside, overseeing data platform development, team growth, and cross-functional collaboration to drive analytics and data-driven decisions.

The Data Engineering Manager will design a metadata-driven ingestion framework on Databricks, ensuring data quality, collaboration, and best practices in data engineering while leading vendor teams and integrating governance tools.

As Senior Manager of Data Engineering, you will lead development teams, design technical solutions, mentor engineers, and implement cloud-based data systems.

Lead the data management strategy and team to design, build, and maintain scalable ETL pipelines and data infrastructure. Implement data governance, ensure data quality, optimize performance using tools like Airflow, Iceberg, Trino, and Spark, and collaborate with cross-functional teams to make data accessible and actionable.

Lead the engineering team responsible for healthcare provider rankings, delivering technical solutions, optimizing systems, and mentoring engineers.

Lead the Orchestration Services team, managing engineering projects and guiding team members, while ensuring reliable, scalable data processing systems.

The Senior Manager of Data Engineering leads developers in creating technical solutions using various technologies, mentoring staff, and collaborating to enhance cloud-based services for financial empowerment.

As a Senior Manager in Data Engineering, you will lead Agile teams, develop data solutions, and optimize data systems, driving transformation in Capital One's data capabilities.

Lead a team of engineers in managing and optimizing data infrastructure. Responsibilities include mentoring, agile delivery, operational excellence, and executing the company's data strategy.

Manage and grow the data engineering team while being hands-on with technical tasks, ensuring data quality and architecture improvements across platforms.

Lead and grow a team to manage data infrastructure for AI safeguards, ensuring compliance with data regulations like HIPAA and building privacy-safe data interfaces for ML workflows.

This role involves leading the development and deployment of data engineering solutions, collaborating with different teams, and ensuring data quality and compliance while managing complex data pipelines and workflows.

Manage and maintain data centre operations, ensuring 100% uptime, compliance with standards, energy management, and oversight of maintenance contracts.

Lead the Data Engineering team, driving execution excellence, improving pipeline reliability, and fostering a sustainable team environment while evolving data platform architecture.

The role involves leading data engineering and analytics teams, optimizing data systems, collaborating on data pipelines, and managing data infrastructure projects.

The Engineering Manager will oversee software solution design, lead engineering teams, manage performance, collaborate with Product Managers, and drive process improvements in a remote work culture.

Lead the Data Platform & ML Ops team, overseeing data infrastructure and ML lifecycles, mentoring engineers, and driving product innovations.

As a Software Engineering Manager, you will lead the data engineering team, build scalable data pipelines, and mentor engineers while collaborating with product teams and vendors.

Lead the Consumer Data Engineering Team, manage engineers, ensure alignment with business priorities, establish best practices, and deliver high-quality data products.

Lead the Data Platform team to develop data pipelines, manage engineers, refine processes, and actively contribute to architecture and code.

Lead the engineering team for Sift's data platform, manage data pipelines, establish processes, and contribute to architecture and features. Collaborate with product teams for strategy and growth.