Apache Spark Developer

Apache Spark Developer 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 for this role: Minimum Secret; TS/SCI eligibility with willingness/ability to obtain CI polygraph preferred. Core Technology Stack Data / Processing Apache Spark (PySpark, Scala) Delta Lake, Parquet Structured Streaming Infrastructure Kubernetes (execution environment) Docker Storage / Cloud (Abstracted) S3 / object storage AWS / GCP / Azure (environment-dependent) DevOps (Exposure Level) Git, Jenkins (CI/CD) Languages Python (PySpark) Scala (preferred) Bash / scripting Key Responsibilities 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 partitioning strategies, shuffle optimization, memory tuning, and 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) and AI/ML workflows and feature engineering pipelines. Support data ingestion and storage in object-based systems such as S3-compatible storage. Troubleshoot data pipeline failures and ensure reliability in mission‑critical environments. Operate within secure, air‑gapped environments: manage dependencies without internet access and work within controlled network and security constraints. Required Qualifications 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), and data processing at scale. Experience working with Parquet and/or Delta Lake, and distributed data systems. Familiarity with Docker/containerization and Kubernetes (basic to intermediate experience). Experience with object storage systems such as S3 or equivalent. Strong troubleshooting and performance tuning skills. Proficiency in Bash or scripting. Preferred Qualifications 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. Benefits Generous PTO plus 11 Federal Holidays. Retirement Planning – 401(k) 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. #J-18808-Ljbffr