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:

MBI (T2)

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.

Required Skills:

· 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 

Why GDIT:

· Mission Impact: Contribute to solutions that directly support our nation’s Veterans.

· Innovation-Focused: Work on cloud-first, AI-enabled platforms in a modern data ecosystem.

· Flexible Work: Remote-friendly role with supportive leadership and work-life balance.

· Career Growth: Ongoing training, certification support, and advancement opportunities.

· Competitive Pay & Benefits: Salary, retirement, healthcare, paid time off, and more.

#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, includi