Senior Data Engineer, AWS, Databricks

General Dynamics Information Technology

. Design, build, test, and maintain scalable data engineering components and platform services .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $111,155 - $150,385 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable cloud-based data platforms, including data lakes and warehouses, while ensuring compliance with federal security and governance standards. Proficient in developing ETL/ELT processes and optimizing data pipelines for performance and cost efficiency.

Highest-signal resume keywords

AWS Cloud ExpertiseDatabricks ProficiencyPython ProgrammingETL/ELT FrameworksAgile/Scrum Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingData Transformation TechniquesSQLApache SparkDelta LakeData Quality ChecksData MigrationRoot Cause AnalysisCI/CD Deployments

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsTeam CollaborationMentoring

Tools & Technologies

GitContainerizationUnity CatalogCloud ServicesData Governance Frameworks

Industry Keywords

Federal SecurityCompliance StandardsData GovernanceMetadata ManagementHybrid Cloud Environments

Tech Stack

Tools & technologies

ApacheAWSCloudETLPySparkPythonSparkSQLUnity

About the role

Key responsibilities & impact

Design, build, test, and maintain scalable data engineering components and platform services
Develop secure cloud-based data platforms, including data lakes, lakehouses, or data warehouses
Engineer multi-tenant cloud environments supporting hybrid/on-premises systems and multiple database architectures
Produce and maintain dimensional data models and downstream data marts
Develop and maintain ETL/ELT processes, reports, dashboards, and data presentation solutions
Maintain STTMs, logical and physical data models, design documents, testing documents, and related documentation
Support the Data and Technology Enabler Roadmap across data engineering, reporting/analytics, and AI/ML use cases
Design and develop ingestion and ETL/ELT pipelines for enterprise data sources
Implement reusable data services, data quality checks, validations, and error handling
Configure metadata structures, workflows, automation, security settings, and catalog entries
Create training, job aids, and communications for user adoption
Integrate pipelines with cloud services, messaging, and storage components
Optimize pipeline performance, scalability, and cost efficiency
Support CI/CD deployments, automated testing, and promotion across environments
Participate in code reviews, design reviews, and sprint ceremonies
Resolve incidents and perform root cause analysis for pipeline failures
Operate in an Agile federal delivery environment across multiple scrum teams
Collaborate with architects, DBAs, business analysts, QA personnel, and migration teams
Execute data migration, archival, disaster recovery, and failover-testing strategies
Implement operational databases, document storage, indexing services, schemas, and secure data APIs using infrastructure as code
Ensure deliverables meet federal security, governance, and audit requirements

Requirements

What you’ll need

Bachelor's degree in Data Science or closely related discipline
5+ years of specialized experience with AWS Cloud and Databricks
Deep hands-on experience with core AWS data storage, compute, and serverless tools
Deep hands-on experience with Databricks, Apache Spark, and Delta Lake
Advanced proficiency in Python, PySpark, SQL, and data transformation techniques
Proficiency with ETL/ELT frameworks
Familiarity with Git, containerization, CI/CD, and data governance frameworks such as Unity Catalog
Hands-on experience building enterprise-scale data pipelines
Experience with streaming or near-real-time data ingestion
Familiarity with data governance, metadata, and classification standards
Experience with system security best practices
Experience building and migrating software and IT services to align with strategic business needs
Experience researching advanced technologies to support business needs
Experience identifying and applying industry tools, solutions, methods, best practices, and emerging technologies
Familiarity with Agile/Scrum delivery environments
Experience in regulated or compliance-driven environments
Excellent presentation and communication skills
Consultant mindset and ability to work with high-level customer stakeholders
Strong analytical and problem-solving skills
Ability to work effectively independently and as part of a team
Experience mentoring junior data engineers
Must pass a background check to obtain Public Trust
Must provide onsite fingerprinting at a designated facility
Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen)

Benefits

Comp & perks

Comprehensive medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
401(k) plan with pre-tax and post-tax contributions and company match
Full flex work weeks where possible
Paid 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
Growth and professional development opportunities
Wellness packages
Competitive pay
Military-friendly workplace