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# Mid-Level Data Processing Analyst

- **Company:** Nyla Technology Solutions
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $125,000.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Computer Engineering, Customer Data Management, Data Transformation, Query Languages, Distributed Computing Environment, Apache Hadoop, MapReduce, Python (Programming Language), Software Engineering, Data Processing, Scripting, Apache Spark, Apache Pig, Git, Semi-structured Data, Information Technology, Software Version Control, Data Pipelines
- **Published:** October 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d9e1ca3eae12ec5f

## About the Role

Analytic & Pipeline Development: Construct, refine, and deploy custom cyber analytics and data processing scripts using Python and Apache Pig to query and evaluate large, multi-source datasets.
Domain Integration: Leverage deep operational understanding of STARPROC, ASDF, and XKS frameworks to optimize data enrichment, ingest pathways, and automated targeting/triage workflows.
Data Transformation & Extraction: Design efficient data transformation logic to extract key telemetry, metadata, and intelligence indicators from complex, unstructured, or semi-structured data formats.
Stakeholder Collaboration: Collaborate with mission partners, capability leads, and engineering teams to refine analytic requirements, troubleshoot processing bottlenecks, and streamline intelligence output.
Documentation & Technical Sharing: Maintain thorough documentation of analytic logic, processing pipelines, standard operating procedures, and repository code bases to support cross-team integration and auditing.

Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 5+ years of professional software engineering experience OR Associate's Degree in a related technical field PLUS 7+ years of hands-on technical software development experience in lieu of a degree.
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Desired Skills

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

## Description

The Cyber Analytic Computer Scientist Level 2 (CaCS2) serves as a key technical contributor supporting complex cyber data analysis, pipeline development, and workflow processing. In this role, you will design, build, and optimize specialized analytics and data manipulation scripts to extract actionable insights from large-scale data streams. Working closely with mission analysts, software developers, and system architects, the CaCS2 translates operational requirements into technical capabilities by leveraging distributed data processing languages (Pig) and scripting frameworks (Python) alongside specialized customer data architectures.