Data Engineering Manager Jobs

Explore Data Engineering Manager jobs on Ladders, where professionals can find vetted opportunities with salaries of $100,000 or more. These leaders build and guide teams responsible for the systems that collect, transform, store, and deliver data across an organization.

What Does a Data Engineering Manager Do?

Data Engineering Managers lead the design and operation of data platforms, pipelines, warehouses, and related infrastructure. They set technical direction, establish standards for data quality and reliability, and partner with analytics, product, software, and business teams to make trusted data accessible.

Responsibilities may include hiring and coaching engineers, prioritizing projects, overseeing cloud and distributed data systems, improving pipeline performance, and aligning engineering work with company goals. The scope varies by organization, from hands-on technical leadership to managing multiple teams and strategic programs.

Skills and Qualifications

Employers often seek experience in data engineering and people leadership, along with strong communication and project planning skills. Common technical areas include SQL, Python or other programming languages, data modeling, ETL and ELT, orchestration, cloud platforms, and data warehouses or lakehouses. Familiarity with governance, security, observability, and machine learning infrastructure can also be valuable.

Explore Data Engineering Manager Opportunities

Find roles across industries and company sizes, including positions focused on analytics infrastructure, real-time data, platform modernization, and enterprise data strategy. Browse vetted Data Engineering Manager jobs on Ladders to discover opportunities paying $100,000 or more and take the next step in your leadership career.

1,000+

Data Engineering Manager Jobs

Average Salary: $153,281

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Top companies hiring for Data Engineering Manager

Accenture Capital One Financial Corporation Deloitte Snowflake Computing Google PWC Amazon Anthropic The Walt Disney Company Prologis, Inc SAIC Capgemini Braze Databricks Atlassian

Top similar job titles to Data Engineering Manager

Senior Data Engineer jobs Data Engineer jobs Data Science Manager jobs Engineering Manager jobs Senior Engineering Manager jobs Software Engineering Manager jobs Senior AI Engineer jobs Technical Project Manager jobs Technical Program Manager jobs Project Manager jobs Analytics Engineer jobs Technical Product Manager jobs Lead AI Engineer jobs Machine Learning Engineer jobs Senior Software Engineer jobs

Top cities hiring for Data Engineering Manager

New York, NY jobs San Francisco, CA jobs Chicago, IL jobs Seattle, WA jobs Toronto, ON jobs Mc Lean, VA jobs Austin, TX jobs Dallas, TX jobs Boston, MA jobs Menlo Park, CA jobs

Frequently Asked Questions (FAQ)

What does a Data Engineering Manager do?
A Data Engineering Manager leads engineers who build and maintain data pipelines and platforms. The role typically combines technical direction, team development, project prioritization, and collaboration with stakeholders who rely on data.
What qualifications are common for Data Engineering Manager jobs?
Many roles call for a background in data engineering, experience managing or mentoring technical teams, and knowledge of technologies such as SQL, Python, cloud platforms, data warehouses, and pipeline orchestration. Requirements vary by employer.
What skills are important for a Data Engineering Manager?
Important skills often include technical architecture, data modeling, pipeline reliability, cloud infrastructure, communication, strategic planning, and the ability to coach engineers and coordinate across teams.
Do Data Engineering Manager jobs on Ladders pay at least $100,000?
Ladders focuses on vetted professional jobs that pay $100,000 or more. Review each listing for its specific compensation range, responsibilities, and qualifications.
Where can Data Engineering Managers work?
Data Engineering Managers are hired across industries that depend on data, including technology, finance, healthcare, retail, and professional services. Roles may focus on internal data platforms, analytics, real-time systems, or enterprise infrastructure.