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[Remote] Cloud Data Engineer

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. GDIT is a global technology and professional services company delivering technology solutions and mission services to government, defense, and intelligence organizations. The Principal Cloud Data Engineer will design and lead scalable data solutions supporting CMS healthcare programs, including efforts to combat fraud, waste, and abuse. The role also provides technical guidance, oversees testing and project initiatives, and improves data quality and workflow automation.

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

Skills

  • Data Flows, Data Structures, Data Warehousing (DW), ETL Processing
  • 8 + years of related experience
  • No
  • * 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
  • * Data modeling, and source‑to‑target mappings
  • * Developing with serverless architectures and microservices
  • * Strong Linux and CLI skills (bash, AWS CLI, Snowflake)
  • * Experience with ETL tools
  • * 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
  • * Knowledge of Kimball and Inmon data warehouse methodologies

Benefits

  • AI-powered career tool that identifies career steps and learning opportunities.
  • An internal mobility team focused on helping you achieve your career goals.
  • Comprehensive benefits and wellness packages.
  • 401K with company match.
  • Paid time off.
  • Full-flex work week to own your priorities at work and at home.
  • Medical plan options, some with Health Savings Accounts.
  • Dental plan options.
  • A vision plan.
  • 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.
  • Vacation, sick and personal time.
  • Paid holidays.
  • Paid parental leave.
  • Military leave.
  • Bereavement leave.
  • Jury duty leave.
  • 15 days of paid leave per calendar year for new employees, prorated based on the employee’s date of hire.
  • 10 paid holidays per year, prorated based on the employee’s date of hire.
  • Up to 160 hours of paid leave in a rolling 12 month period for eligible employees through the GDIT Paid Family Leave program.
  • Short- and long-term disability benefits.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • Remote work.
  • Award-winning culture of innovation and a military-friendly workplace.

Company Overview

  • General Dynamics Information Technology is an IT consulting company that specializes in cyber security, AI, and quantum computing. It is a sub-organization of General Dynamics. It was founded in 1999, and is headquartered in Falls Church, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.gdit.com/.
  • Company H1B Sponsorship

  • General Dynamics Information Technology has a track record of offering H1B sponsorships, with 17 in 2026, 31 in 2025, 27 in 2024, 36 in 2023, 19 in 2022, 18 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.