Data Engineer (Onsite Vandenberg, CA)
Accenture Federal ServicesPoint Mugu, CAPosted 24 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:
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and production-grade data products in Palantir Foundry
Create and maintain data pipeline and ensure data quality across systems.
Implement ETL processes for migrating and deploying data.
Collaborate with cross-functional teams to understand data needs and develop solutions.
Monitor and optimize data pipelines for performance and reliability.
Act as an independent performer and develop subject‑matter expertise.
Actively participate in team discussions and provide solutions to work‑related problems.
Here is what you need:
US citizenship (Secret clearance eligible)
Bachelors degree and 7+ years of experience
Advanced proficiency in Python
Hands-on experience with Palantir Foundry.
Experience implementing ETL processes and building data pipelines.
Strong skills in ensuring data quality.
Ability to work independently and become a subject matter expert.
Familiarity with the manipulation of unstructured data in a data analytics environment, and the use of open-source tools, cloud computing, machine learning and data visualization.
Preferred Experience
Active DOD Secret clearance highly desired
Expert proficiency in Database Management.
Advanced proficiency in Functional Designs.
Advanced proficiency in Quality Assurance (QA).
Familiar with specialized languages relevant to the technologies employed such as Apache, Hadoop, etc.
***This position is onsite in Vandenberg, CA***
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:
$86,400
$176,200 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 Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and i ... (truncated, view full listing at source)
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