Cloud Data Engineer

General Dynamics Information Technology•USA MD Home Office (MDHOME), MD

3d•$140,250 - $189,750•Remote

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.