Data Engineer Team Lead
Accenture Federal Services - Arlington, VA
Posted Nov 17, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Engineer Team Lead Arlington, VA At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! As the Data Engineer Team Lead, you will lead a team of talented engineers responsible for building and maintaining the data lifeblood. You will provide the technical vision and hands-on leadership for the design, development, and sustainment of all data pipelines. This senior role requires you to champion innovation through governance, driving the adoption of reusable templates, automation, and modern data engineering practices to deliver resilient, scalable, and cost-efficient data solutions for the DoD. Responsibilities: - Lead, mentor, and manage a team of data engineers working on new pipeline development and operations & maintenance (O&M). - Drive the technical strategy for the data pipeline ecosystem, ensuring stability, scalability, and efficiency. - Enforce the use of reusable pipeline templates, automated monitoring patterns, and Infrastructure-as-Code (IaC) deployment standards
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