AI Data Engineer

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science

Job Qualifications:

Skills:

Analytical Thinking, Business Processes, Data Engineering, Machine Learning

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

No

Job Description:

Join GDIT where your work will improve outcomes for our Veterans. You will support the Department of Veterans Affairs (VA) with a Veteran first vision to transform the Veterans Benefits Administration (VBA) with greater visibility into claims processing. Together, we’re building a future of fast, transparent claims, empowered teams, and striving for a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served. This high-impact solution accelerates the delivery of benefits to Veterans and their families.

Responsibilities:

· Build and maintain data pipelines to extract, transform, and load structured and unstructured data into scalable AWS-based data platforms.

· Design and optimize data architectures using AWS services like Glue, Redshift, S3, Athena, Lambda, EMR, and RDS.

· Implement and enforce data governance, security, and quality policies in accordance with VA standards.

· Support data ingestion from legacy systems and external partners, including OCR, APIs, and flat files.

· Develop reusable scripts and automation for data transformation and orchestration (Python, SQL, PySpark, etc.).

· Collaborate with analysts and data scientists to support advanced analytics and ML initiatives.

· Monitor, troubleshoot, and tune performance of ETL workflows and database systems.

· Contribute to DevSecOps and CI/CD practices for data engineering components.

Qualifications:

· Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.

· 10+ years of experience in data engineering, data warehousing, or cloud data platforms.

· Hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, Athena, etc.).

· Proficiency in Python, SQL, and ETL development.

· Familiarity with data lake and data warehouse architectures.

· Experience with DevOps tools, version control (Git), and CI/CD pipelines.

· Understanding of data privacy, security, and compliance in regulated environments.

· Experience with healthcare or government datasets is a plus.

· AWS certifications such as Data Analytics – Specialty or Solutions Architect preferred.

· Must be able to obtain a Position of Trust and successfully pass a thorough Government background screening process requiring the completion of detailed forms and fingerprinting 

#Veteran_First

The likely salary range for this position is $100,300 - $135,700. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able t