TS/SCI Spark Developer – Scalable Data Pipelines

Absolute Business Solutions Corp.; Aurora (CO); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

401k Fully Vested with Match

Tuition Assistance Program

Annual Health and Wellness Allowance

Annual Funds for Education and Training

Volunteer Time Off

Charitable Match

Referral Program

LOV Awards

Job summary

Absolute Business Solutions Corp. is actively hiring an Apache Spark Developer to support NGA’s mission by building and optimizing large-scale data processing pipelines. This role involves developing high-performance Spark applications within a containerized environment, requiring TS/SCI clearance.

The ideal candidate will have strong expertise in Apache Spark, Python, and data processing at scale. They will work collaboratively in secure environments while contributing significantly to mission analytics and AI/ML integration.

Qualifications

• Eligibility for TS/SCI with counterintelligence polygraph.
• Bachelor’s degree plus 5 years experience in data engineering or Spark development.
• Strong hands-on experience with Apache Spark and Python.

Responsibilities

• Design and maintain Apache Spark pipelines using PySpark and/or Scala.
• Process large-scale datasets using modern data lake architectures.
• Optimize Spark jobs for performance and efficiency.

Skills

Apache Spark (mandatory)

Python (PySpark)

Data processing at scale

Performance tuning

Troubleshooting

Education

Bachelor’s degree plus 5 years’ experience in data engineering or Spark development

Tools

Docker

Kubernetes

Parquet and/or Delta Lake

Object storage systems (e.g., S3)

Job description

Absolute Business Solutions Corp. is actively hiring an Apache Spark Developer to support NGA’s mission by building and optimizing large-scale data processing pipelines. This role involves developing high-performance Spark applications within a containerized environment, requiring TS/SCI clearance.

The ideal candidate will have strong expertise in Apache Spark, Python, and data processing at scale. They will work collaboratively in secure environments while contributing significantly to mission analytics and AI/ML integration.