Manager, Data Engineering
$161,000–$266,000 year
Hybrid · Arlington, Virginia, United States
Job Summary
Lead, mentor, and develop a team of 4–10 Data Engineers to design, build, and maintain scalable data pipelines and enterprise data solutions that enable impactful business insights for clients worldwide. Drive end-to-end delivery of high-quality, scalable data solutions across multiple clients, industries, and concurrent projects. Own the design, development, automation, and maintenance of large-scale ETL/data integration pipelines; lead Agile team operations including sprint planning, capacity management, and retrospectives. Provide coaching and career development support, serve as a technical leader in data architecture and engineering standards, and partner with analytics teams, product managers, and stakeholders to translate requirements into scalable data solutions. Leverage SQL and modern database technologies (e.g., Microsoft SQL Server) to optimize performance and manage large datasets; enforce engineering best practices, drive automation, and ensure data quality controls. Build strong relationships with internal and external stakeholders across global teams and client organizations, and ensure compliance with Mastercard policies and regulatory requirements.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, Mathematics, Finance, Business, or a related quantitative discipline; equivalent practical experience will also be considered
- Proven experience in Data Engineering or a related field with strong expertise in data architecture, data modeling, database design, and scalable data solutions
- Strong leadership/people-management experience or senior IC capability
- Advanced SQL skills, including performance tuning, query optimization, and large-scale data processing
- Deep hands-on experience with Microsoft SQL Server and relational database technologies
- Experience designing, implementing, and maintaining ETL pipelines and data integration frameworks
- Experience with Databricks, Spark, or modern cloud-based data platforms a plus
- Excellent analytical, problem-solving, and communication skills
- Bachelor’s degree or equivalent practical experience; willingness to explore and adopt new capabilities
- Experience managing projects, people, and delivery processes while ensuring quality, accuracy, and operational excellence
- Ability to translate requirements into scalable data solutions and collaborate with analytics teams, product managers, and business stakeholders
- Experience with data governance and ensuring compliance with security standards and regulatory requirements
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