Mid-Level Data Processing Analyst

Nyla Technology Solutions • Annapolis Junction, MD

4d

About The Position

The Data Processing Analyst is a key technical contributor supporting complex cyber data analysis, pipeline development, and workflow processing. The role designs, builds, and optimizes specialized analytics and data manipulation scripts to extract actionable insights from large-scale data streams. Working with mission analysts, software developers, and system architects, the analyst translates operational requirements into technical capabilities using distributed data processing languages such as Apache Pig, scripting frameworks such as Python, and specialized customer data architectures.

An active TS/SCI clearance with polygraph is required. The annual base salary range is $143,000–$170,000 USD, excluding discretionary bonus compensation and benefits. Actual compensation may vary based on geographic location, work experience, education, skill level, and other factors.

Requirements

• Active security clearance at the TS/SCI polygraph level.
• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, plus 5 or more years of professional software engineering experience; alternatively, an associate’s degree in a related technical field plus 7 or more years of hands-on technical software development experience.
• Experience with Python and Apache Pig for cyber analytics and data processing.
• Operational understanding of STARPROC, ASDF, and XKS frameworks.

Nice To Haves

• Experience with distributed computing frameworks and big data architectures such as Hadoop, MapReduce, or Spark.
• Familiarity with additional scripting or query languages used in cyber processing pipelines.
• Understanding of modern software development life cycle practices, Git version control, and agile team workflows.

Responsibilities

• Construct, refine, and deploy custom cyber analytics and data-processing scripts using Python and Apache Pig to query and evaluate large, multi-source datasets.
• Use operational understanding of STARPROC, ASDF, and XKS frameworks to optimize data enrichment, ingest pathways, and automated targeting and triage workflows.
• Design data-transformation logic to extract telemetry, metadata, and intelligence indicators from complex, unstructured, or semi-structured data formats.
• Collaborate with mission partners, capability leads, and engineering teams to refine analytic requirements, troubleshoot processing bottlenecks, and streamline intelligence output.
• Document analytic logic, processing pipelines, standard operating procedures, and repository code bases to support cross-team integration and auditing.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level