Cloud Data Engineer

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 Principal 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

GDIT is your place

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

• Growth: AI-powered career tool that identifies career steps and learning opportunities.
• Support: An internal mobility team focused on helping you achieve your career goals.
• Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off.
• Flexibility: Full-flex work week to own your priorities at work and at home.
• Community: Award-winning culture of innovation and a military-friendly workplace.

Own your opportunity

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

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

Scheduled Weekly Hours: 40

Travel Required: Less than 10%

Telecommuting Options: Remote Work Location: Any Location / Remote

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.
• 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.

Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

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