Data Engineer - SME

Accenture Federal Services•Chantilly, VA

5d•$106,300 - $221,100

About The Position

At Accenture Federal Services, our purpose is to help the US federal government make the nation stronger and safer, and improve lives. Our team of over 13,000 professionals is dedicated to leveraging technology and innovation for clients across defense, national security, public safety, civilian, and military health organizations. We are recognized as a Glassdoor Top 100 Best Place to Work, offering a supportive community where you can grow, learn, and thrive through hands-on experience, certifications, and industry training. Join us to drive meaningful change and advance government missions.

Requirements

Bachelor's degree required.
10+ years of experience in data engineering, database development, or related areas.
Strong experience with relational databases, SQL, and large-scale data design.
Hands-on experience building data pipelines for structured and semi-structured data.
Familiarity with analytics, visualization technologies, and high-performance or distributed computing.
Experience integrating new systems with enterprise data warehouses.
Understanding of secure data practices and zero trust principles.
Strong communication and problem-solving skills.
US Citizen
Active Top Secret security clearance

Nice To Haves

Experience with government or multi-enclave data environments.
Background with data visualization platforms or visual analytics applications.
Experience with cloud data platforms or hybrid architectures.
Degree in Data Engineering, Computer Science, or related field.

Responsibilities

Build and maintain data pipelines that support visual analytics applications and high-performance data processing.
Transform structured and semi-structured data into usable, actionable information.
Design and construct large enterprise relational databases and ensure they perform efficiently.
Integrate new data systems with existing data warehouses and refine system performance.
Use open source, COTS, and GOTS technologies to support analytics and data workflows.
Develop strategies, standards, and best practices for database operations, programming, and security.
Collaborate with teams to analyze data needs and enhance overall data quality and usability.