Sr. Data Engineer
Accenture Federal ServicesWashington, DCPosted 21 March 2026
Job Description
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!
The work:
If you’ve ever wanted to bring true product thinking and commercial data engineering practices into government, this is the role. We’re hiring for a Sr. Data Engineer to join our Civilian portfolio at Accenture Federal Services, where our teams are building modern digital products that directly improve everyday experiences for the public.
As a Sr. Data Engineer, you will play a pivotal role in building a robust data platform (in Databricks) to be used by skilled data professionals analyzing and improving a highly visible online product. What makes this opportunity stand out is the client: mission-driven, product-oriented, and moving with a speed and mindset you’d expect from a Silicon Valley product company.
Note: The role can be remote or in-person in D.C., but U.S. citizenship is required. Databricks experience is ++
Key Responsibilities:
Architecting and building scalable data platforms in AWS and Databricks
Designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds to improve quality, availability, and scalability
Collaborating in a small, interactive scrum team of highly skilled data professionals to deliver in agile environment
Here's what you need:
5+ years designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds
Experience with ETL and API data interfaces
Experience with Open-source technologies and data streaming in Apache Kafka
Prior design and implementation of Medallian Data Architecture
Strong communication skills and ability to work in fast-paced, collaborative team
Must be a US Citizen, eligible for Public Trust clearance
Preferred experience:
Extensive engineering experience in Databricks Platforms
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of
California, Colorado, Hawaii, Illinois, Maryland,
Massachusetts,
Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland
. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits.
You can find more information on benefits here.
We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is:
$116,900
$243,100 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at ... (truncated, view full listing at source)
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