Data Engineer | Active Secret clearance

General Dynamics - IT; Virginia (MN); Hybrid; USD 130,000 - 180,000; Full time

Job summary

General Dynamics IT seeks a Data Engineer to design, build, and maintain scalable data architectures in AWS GovCloud for mission-critical systems. You’ll lead data pipeline development, ETL processing, and data governance across diverse stakeholders, including data scientists and engineers.

The role requires 10+ years in data engineering, strong SQL and cloud skills, and a focus on secure, high-performance data solutions for Navy-related and government programs.

Qualifications

• 10+ years of data engineering experience.
• Experience implementing data warehousing concepts and ETL processes.
• Experience with PostreSQL and Oracle PL/SQL migration tasks.
• Proficiency in SQL and other query languages.
• Knowledge of data security and compliance best practices.
• Experience with cloud data services (AWS/Azure/GCP).
• Experience with RedShift, BI tools and data modeling.

Responsibilities

• Design, build, deploy, and maintain data architectures and databases in AWS GovCloud.
• Develop and maintain scalable data pipelines and API integrations.
• Migrate data from on-premises databases to cloud-based solutions.
• Ensure ETL/ELT jobs are secure, efficient, and auditable.
• Collaborate with data scientists and architects to meet performance targets.
• Document data architecture and data governance processes.
• Support data delivery systems and transform data into insights.

Skills

Data architecture

SQL

ETL processes

Python/Java/Scala/Go

Cloud data services

Security/compliance

GitLab/Liquibase/CI&CD

Big data tech (Hadoop/Spark/Kafka)

AWS GovCloud

Data warehousing

Communication

Tools

PostgreSQL

Oracle PL/SQL

AWS RDS/Aurora

XML/JSON data modeling

Apache Hadoop/Spark/Kafka

Debezium/RabbitMQ

GitLab

Liquibase

Job description

Transform technology into opportunity as a Data Engineer at GDIT. Shape what’s next for mission-critical government projects while shaping what’s next for your engineering career.

MEANINGFUL WORK AND PERSONAL IMPACT

As a Data Engineer, the work you’ll do at GDIT will be impactful by providing technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems.

• As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment.
• Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.
• Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.
• Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.
• Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.
• Implement the data extraction, data load, and database synchronization routines and functions ETL.
• Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.
• Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.
• Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.
• Design, model, document, and guide the logical and conceptual relationship of data and database changes.
• Document data architecture and systems for both technical teams and non-technical stakeholders.
• Perform technical planning, system integration, verification and validation, cost and risk assessments.

WHAT YOU’LL NEED TO SUCCEED

Bring your engineering expertise along with a drive for innovation to GDIT. Our Data Engineer must have:

• Security Clearance Level: Active Secret clearance required.
• Experience: 10+ years of prior Data engineering experience
• Experience with implementing data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools (e.g., Pentaho)
• Experience with developing and administrating in PostreSQL
• Strong proficiency in SQL and experience with other querying languages.
• Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL
• Proven, hands‑on expertise in data modeling, schema design, and database optimization, with the ability to design, implement, and optimize complex data structures in production environments.
• Knowledge of data security and compliance best practices.
• Experience with GitLab, Liquibase, CI/CD pipelines highly preferred
• Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.
• Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities
• Prior Navy experience.
• Experience with cloud data services (e.g., AWS, Azure, GCP)
• Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)
• SAFe experience and knowledge
• Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.
• Experience with one or more programming languages like Python, Java, Scala, or Go.
• Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.
• Must be a self-starter and have the ability to work independently with little supervision.
• Certification Requirements:
• 8570/8140 - IAT II CompTIA Security+ CE.
• Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)
• Work Location: Remote
• US Citizenship Required

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
• Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY

Explore a career in software development at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.