Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Flows, Data Structures, Data Warehousing (DW), ETL Processing

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

No

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a Data Engineer Principal at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.

As a Data Engineer Principal, the work you’ll do at GDIT will be impactful to the mission of the Centers for Medicare and Medicaid Services (CMS). You will play a crucial role in helping combat fraud waste and abuse in healthcare programs.

HOW A DATA ENGINEER PRINICPAL WILL MAKE AN IMPACT:

• Design, build, test, debug, and document scalable data solutions, delivering enhancements for both new and existing systems.
• Conduct thorough unit and integration testing to ensure solutions meet functional and stakeholder requirements.
• Provide expert technical guidance, supporting high‑level solution architecture, planning, and cost estimation activities.
• Lead project initiatives, driving development efforts and ensuring requirements, milestones, and timelines are consistently met.
• Partner with end‑user analysts to define, refine, and optimize Data Warehouse requirements.
• Collaborate with business analysts to validate test plans, test cases, and overall solution quality.
• Drive continuous improvement by identifying opportunities to streamline processes, enhance data quality, and strengthen workflow automation.

WHAT YOU’LL NEED TO SUCCEED

• Bachelor’s degree in a relevant field.
• 8+ years of hands-on experience in data engineering or related disciplines.
• Proficiency with scripting and programming languages such as Python, shell scripting, SQL, and JavaScript.
• Experience building decoupled, scalable data pipelines.
• Strong data warehouse skills; Snowflake experience preferred.
• Hands-on CI/CD experience promoting code across development, test, and production environments.
• Use of Git-based repositories and AWS deployment pipelines (Bitbucket, CodeCommit, GitHub).
• Experience designing and implementing job scheduling and orchestration workflows.
• Solid understanding of data quality principles, including audit, balance, and control.
• Knowledge of data structures, data types, and built-in database functions.
• Experience with bulk file ingestion and processing.
• Data governance experience, including access controls and role-based security.
• Understanding of AWS IAM roles and their integration with AWS native services.
• Experience with AWS data services and event-driven automation (SQS, Lambda, triggers, etc.)
• Experience with Atlassian tools such as Jira and Confluence.
• Experience working in Agile/Scrum environments.
• Strong communication and collaboration skills.
• Self‑starter who contributes ideas for continuous improvement.
• Takes ownership of work and processes; proactive in resolving issues and customer inquiries.
• Ability to learn new technologies quickly and remove obstacles with minimal guidance.
• Collaborates effectively with all stakeholders.
• Self‑driven, accountable, and focused on delivering high‑quality results.

DESIRED SKILLS AND ABILITIES:

• Healthcare claims experience.
• Understanding of data structures.
• Experience with AI solutions to detect data or processing defects.
• Experience with Notebooks (i.e. Jupyter, Snowflake).
• Knowledge of partitions and clustering to improve efficiency and cost.
• Data modeling, and source‑to‑target mappings.
• Developing with serverless architectures and microservices.
• Knowledge of Kimball and Inmon data warehouse methodologies.
• Strong Linux and CLI skills (bash, AWS CLI, Snowflake).
• Experience with ETL tools

The likely salary range for this position is $140,250 - $189,750. 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:

Less than 10%

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 to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.