Spark or Java Developer

Apache Spark Developer

We are actively hiring a Secret or Top Secret/TS/SCI-cleared Apache Spark Developer to support NGA’s Data Modernization Services (DMS) mission by building and optimizing large-scale data processing pipelines. This role focuses on developing high-performance Spark applications within a containerized, Kubernetes-based environment, supporting mission analytics, data exploitation, and AI/ML integration. The ideal candidate thrives in distributed data environments, understands performance tuning deeply, and can operate effectively in secure, air-gapped systems.

This role is on-site/flexible hours in Herndon, VA;
Springfield, VA;
St. Louis, MO; or Aurora, CO.

Clearance required:

minimum Secret, TS/SCI eligibility, preference for CI polygraph.

• Data / Processing
  • Apache Spark (PySpark, Scala)
  • Structured Streaming
• Infrastructure
  • Docker
  • S3 / object storage
  • Git, Jenkins (CI/CD)
• Languages
  • Python (PySpark)
  • Scala (preferred)
  • Bash / scripting

• Design, develop, and maintain Apache Spark pipelines (batch and streaming) using PySpark and/or Scala
• Process and transform large-scale datasets using modern data lake architectures (Delta Lake, Parquet)
• Optimize Spark jobs for performance, including:
  • Memory tuning
  • File sizing and storage efficiency
• Implement Structured Streaming pipelines for near real-time data processing
• Develop and deploy Spark applications within containerized environments (Docker)
• Execute workloads in Kubernetes clusters, supporting scalable and distributed processing
• Integrate Spark pipelines with downstream systems, including:
  • Analytics platforms (SQL, notebooks)
  • AI/ML workflows and feature engineering pipelines
• Support data ingestion and storage in object-based systems (e.g., S3-compatible storage)
• Troubleshoot data pipeline failures and ensure reliability in mission-critical environments
• Operate within secure, air-gapped environments, including:
  • Managing dependencies without internet access
  • Working within controlled network and security constraints

• TS/SCI (eligibility) with ability/willingness to obtain/maintain counterintelligence polygraph
• Bachelor’s degree plus 5 years’ experience in data engineering or Spark development (will entertain additional years’ experience in lieu of degree)
• Strong hands-on experience with:
  • Apache Spark (mandatory)
  • Python (PySpark)
  • Data processing at scale
• Experience working with:
  • Parquet and/or Delta Lake
  • Distributed data systems
• Familiarity with:
  • Docker / containerization
  • Kubernetes (basic to intermediate experience)
  • Object storage systems (e.g., S3 or equivalent)
  • Strong troubleshooting and performance tuning skills
  • Proficiency in Bash or scripting

• Experience with Scala for Spark development
• Experience with Structured Streaming in production environments
• Familiarity with Iceberg or lakehouse architectures
• Experience with CI/CD pipelines (Jenkins, Git)
• Exposure to Terraform or Infrastructure as Code
• Experience supporting AI/ML data pipelines
• Prior experience supporting NGA, IC, or DoD programs

• Retirement Planning – 401k Fully Vested with Match
• Tuition Assistance Program – Annual contributions to help you pay down your loans
• Annual Health and Wellness Allowance – buy an Apple Watch, a treadmill, or hit the gym on us
• Career Development – Annual Funds to spend on Education and Training
• Volunteer Time Off – Annually, all employees can spend 8 hours directly supporting a charity of choice
• Charitable Match – ABSC matches an employee’s donation to a qualifying charity
• Referral Program – We pay for internal and external referrals!
• LOV Awards – Earn bonus awards throughout the year from our Living Our Values awards program

Equal Opportunity Employer, including veterans and individuals with disabilities.