Senior Data Pipeline Engineer

Nyla Technology Solutions • Annapolis Junction, MD

3d

About The Position

In this role, you will dive headfirst into processing and optimizing massive datasets using Python and Spark. You won't just be managing data—you will be navigating complex network protocols, dissecting dataflows, and leveraging custom customer tools to transform raw inputs into powerful, actionable insights. If you thrive in fast-paced environments, love untangling intricate data pipelines, and take pride in powering critical systems, this is the stage for you. The annual base salary range for this role is $154,000-$182,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Requirements

• ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
• Strong hands-on experience developing efficient, scalable automation and data processing scripts using Python.
• Proven experience leveraging Spark to build, optimize, and maintain massive-scale data processing pipelines.
• Solid background in network architecture, protocols, and deep packet/data stream analysis.
• Direct familiarity with customer-specific toolsets, internal dataflows, and specialized data processing frameworks.
• Bachelor’s Degree in Cyber Security, Computer Science, Computer Engineering, or a related technical discipline, PLUS 7+ years of professional experience in cyber operations, network analysis, or data engineering OR Master’s Degree in a related field, PLUS 5+ years of relevant professional experience OR High School Diploma / GED , PLUS 11+ years of specialized technical experience in lieu of a degree.

Nice To Haves

• Deep understanding of high-throughput data architectures and real-time streaming technologies.
• Proven ability to troubleshoot and optimize custom analytical workflows under complex data constraints.
• Excellent collaborative communication skills and a passion for working alongside cross-functional engineering teams.

Responsibilities

• Processing and optimizing massive datasets using Python and Spark.
• Navigating complex network protocols.
• Dissecting dataflows.
• Leveraging custom customer tools to transform raw inputs into powerful, actionable insights.
• Building, optimizing, and maintaining massive-scale data processing pipelines using Spark.
• Troubleshooting and optimizing custom analytical workflows under complex data constraints.

What This Job Offers

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