Job description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED Are you a talented and motivated Cloud-Based Analytics Developer who loves tackling massive data challenges and pushing technical boundaries? If you thrive in a highly collaborative environment and are passionate about big data and distributed computing, we want you on our team! At Nyla, we are completely dedicated to delivering high-performing, reliable solutions that advance our nation's mission. We are looking for an upbeat, solution-focused developer to join us in designing, optimizing, and maintaining next-generation cloud analytics platforms that seamlessly process heavy volumes of data. In this role, you will leverage modern big data architectures to build and scale critical data pipelines. Your work will bridge the gap between advanced distributed analytics writing and high-performance execution, ensuring our solutions provide reliable intelligence when it matters most. If you are a straightforward technologist who loves working alongside passionate peers and making a meaningful impact, let’s achieve more together! The annual base salary range for this role is $190,000-$224,000 (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. • Distributed Computing: Strong development experience using high-performance big data frameworks like Spark and/or MapReduce . • Database Engineering: Proven experience working across modern data management environments, including SQL and NoSQL architectures. • Data Science Libraries: Deep technical understanding and practical experience writing analytics utilizing Pandas , NumPy , and/or SciPy . • High-Volume Processing: Demonstrated experience building pipelines capable of processing and analyzing heavy, complex volumes of data. • • Education: Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 14 + years of professional software engineering experience OR High School Diploma / GED , PLUS 18+ years of hands-on technical software development experience in lieu of a degree. Experience deploying analytics within secure, cloud-native frameworks. Proactive approach to troubleshooting pipeline performance bottlenecks and optimizing database queries. Strong communication skills with a team-first mindset, always focused on delivering clear, actionable technical solutions.

Requirements

Must-haves

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Distributed Computing: Strong development experience using high-performance big data frameworks like Spark and/or MapReduce .
Database Engineering: Proven experience working across modern data management environments, including SQL and NoSQL architectures.
Data Science Libraries: Deep technical understanding and practical experience writing analytics utilizing Pandas , NumPy , and/or SciPy .
High-Volume Processing: Demonstrated experience building pipelines capable of processing and analyzing heavy, complex volumes of data.
Experience deploying analytics within secure, cloud-native frameworks.
Proactive approach to troubleshooting pipeline performance bottlenecks and optimizing database queries.
Strong communication skills with a team-first mindset, always focused on delivering clear, actionable technical solutions.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sql

Platform: agile-ats
Effort: medium