Apache Spark Developer

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:
• o Partitioning strategies
• o Shuffle optimization
• o Memory tuning
• o 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:
• o Analytics platforms (SQL, notebooks)
• o 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:
• o Managing dependencies without internet access
• o Working 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:
• o Apache Spark (mandatory)
• o Python (PySpark)
• o Data processing at scale
• Experience working with:
• o Parquet and/or Delta Lake
• o Distributed data systems
• Familiarity with:
• o Docker / containerization
• o Kubernetes (basic to intermediate experience)
• Experience with object storage systems (e.g., 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
• Pay range dependent on geolocation for candidate.
• An approximate salary range for this position is $150,000-$225,000. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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