Cloud Data Engineer

General Dynamics Information Technology

. Design, build, test, debug, and document scalable data solutions for new and existing systems .

Posted 9/17/2026full-timeRemote • United StatesSeniorLead💰 $140,250 - $189,750 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in designing and implementing scalable data solutions, with extensive experience in data engineering, data warehouse management, and AWS services. Demonstrates strong capabilities in data quality assurance, CI/CD processes, and collaboration within Agile/Scrum environments.

Highest-signal resume keywords

Data EngineeringPython ProgrammingAWS Data ServicesData Warehouse ManagementCI/CD Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLShell ScriptingJavaScriptData Pipeline DevelopmentData Quality PrinciplesETL ToolsData ModelingBulk File IngestionMicroservices Development

Soft Skills

Strong CommunicationCollaboration SkillsProblem-Solving

Tools & Technologies

AWSSnowflakeGitBitbucketCodeCommitGitHubJiraConfluenceJupyter NotebooksAWS CLI

Industry Keywords

Healthcare ClaimsData GovernanceAgile/ScrumFraud DetectionData Warehouse Methodologies

Tech Stack

Tools & technologies

AWSETLJavaScriptLinuxMicroservicesPythonShell ScriptingSQL

About the role

Key responsibilities & impact

Design, build, test, debug, and document scalable data solutions for new and existing systems
Conduct unit and integration testing to meet functional and stakeholder requirements
Provide expert technical guidance for solution architecture, planning, and cost estimation
Lead project initiatives and drive development efforts
Ensure requirements, milestones, and timelines are 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 solution quality
Identify opportunities to streamline processes, improve data quality, and strengthen workflow automation
Help CMS combat fraud, waste, and abuse in healthcare programs

Requirements

What you’ll need

Bachelor’s degree in a relevant field
8+ years of hands-on experience in data engineering or related disciplines
Proficiency with Python, shell scripting, SQL, and JavaScript
Experience building decoupled, scalable data pipelines
Strong data warehouse skills; Snowflake experience preferred
Hands-on CI/CD experience across development, test, and production environments
Experience using Git-based repositories and AWS deployment pipelines, including Bitbucket, CodeCommit, and GitHub
Experience designing and implementing job scheduling and orchestration workflows
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 integration with AWS native services
Experience with AWS data services and event-driven automation, including SQS, Lambda, and triggers
Experience with Atlassian tools such as Jira and Confluence
Experience working in Agile/Scrum environments
Strong communication and collaboration skills
Ability to learn new technologies quickly and remove obstacles with minimal guidance
Healthcare claims experience desired
Experience with AI solutions to detect data or processing defects desired
Experience with Notebooks such as Jupyter and Snowflake desired
Knowledge of partitions and clustering desired
Data modeling and source-to-target mappings desired
Experience developing with serverless architectures and microservices desired
Knowledge of Kimball and Inmon data warehouse methodologies desired
Strong Linux and CLI skills, including bash, AWS CLI, and Snowflake, desired
Experience with ETL tools desired

Benefits

Comp & perks

Comprehensive medical plan options, including plans with Health Savings Accounts
Dental plan options
Vision plan options
401(k) plan with pre-tax and post-tax contributions and company match
Full-flex work weeks where possible
Paid time off, including vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave
Typically 15 days of paid leave per calendar year
10 paid holidays per year
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance
AI-powered career tool identifying career steps and learning opportunities
Internal mobility team
Wellness packages
Award-winning culture of innovation
Military-friendly workplace