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# Cloud Data Engineer

- **Company:** General Dynamics IT
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, JIRA, Unit Testing, Bash Shell, Business Process Modeling, Cloud Database, Computer Programming, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Structures, Data Warehousing, Software Debugging, Linux, Github, Identity and Access Management, Job Scheduling, Python (Programming Language), Aws Command Line Interface (CLI), Shell Script, SQL Databases, Delivery Pipeline, Snowflake, Jupyter, Git, Atlassian Tools, AWS Data Analytics, Bitbucket, Amazon Simple Queue Service (SQS), Serverless Computing
- **Published:** September 18, 2026
- **Apply:** http://hbcu.com/cgi-bin/jobs/searchJobs.cgi?job_id=35234128

## About the Role

consistently met.Partner with enduser 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 YOULL NEED TO SUCCEED Bachelors 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.Selfstarter 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.Selfdriven, accountable, and focused on delivering highquality 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 sourcetotarget 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 youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

## Description

Own your opportunity to turn data into measurable outcomes for our customers most complex challenges. As a Data Engineer Principal at GDIT, youll power innovation to drive mission impact and grow your expertise to power your career forward. As a Data Engineer Principal, the work youll 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 highlevel solution architecture, planning, and cost estimation activities.Lead project initiatives, driving development efforts and ensuring requirements, milestones, and timelines are


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