Cloud Data Engineer

General Dynamics IT; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

AI-powered career tool

Internal mobility team

Comprehensive benefits and 401K

Full-flex work week

Job summary

General Dynamics IT seeks a Data Engineer Principal to turn data into measurable outcomes for CMS challenges. You’ll design scalable data solutions, lead development, and drive data quality improvements while collaborating with analysts and stakeholders.

You will work on data pipelines, data governance, and automation in a fast-paced environment. The role emphasizes leadership, architecture guidance, and delivering high-impact results in healthcare data programs.

Qualifications

• Bachelor's degree required in a relevant field.
• 8+ years hands-on data engineering experience.
• Proficiency with Python, shell scripting, SQL, and JavaScript.
• Experience building decoupled, scalable data pipelines.
• Strong data warehouse skills; Snowflake preferred.
• Hands-on CI/CD in development to production.
• Git-based repositories and AWS deployment pipelines.

Responsibilities

• Design, build, test, and document scalable data solutions for new and existing systems.
• Conduct unit and integration testing to meet requirements.
• Provide expert guidance on architecture, planning, and cost estimation.
• Lead initiatives, drive development, and meet milestones.
• Partner with end-user analysts to define Data Warehouse requirements.
• Collaborate with business analysts to validate test plans and quality.
• Drive data quality improvements and automate workflows.

Skills

Data Flows

Data Structures

Data Warehousing

ETL Processing

Python

SQL

JavaScript

Shell scripting

Education

Bachelor's degree in a relevant field

Tools

Snowflake

CI/CD pipelines

Git-based repos

Jira

Confluence

AWS deployment pipelines

Job description

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.
• Self-driven

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:

• 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 rang