Senior Data Analytics Developer
Listed on 2026-06-26
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Software Development
Data Engineering
Job Description
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.
Clearance RequirementsACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED.
Role OverviewWe 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, bridging the gap between advanced distributed analytics writing and high‑performance execution to deliver reliable intelligence when it matters most.
Responsibilities• Design, optimize, and maintain cloud‑based data pipelines and analytics platforms.
• Build and scale critical data pipelines using high‑performance big data frameworks such as Spark and/or Map Reduce.
• Ensure solutions provide reliable intelligence when it matters most by integrating advanced distributed analytics with high‑performance execution.
• Troubleshoot pipeline performance bottlenecks and optimize database queries.
• Collaborate with a passionate team, communicating clearly and delivering actionable technical solutions.
- Distributed Computing:
Strong development experience using high‑performance big data frameworks like Spark and/or Map Reduce. - Database Engineering:
Proven experience working across modern data management environments, including SQL and No
SQL architectures. - Data Science Libraries:
Deep technical understanding and practical experience writing analytics using Pandas, Num Py, and/or Sci Py. - High‑Volume Processing:
Demonstrated experience building pipelines capable of processing and analyzing heavy, complex volumes of data.
Bachelor’s degree in a technical discipline (Computer Science, Systems Engineering, or related field) preferred, or equivalent professional experience with 14 years of experience, or 18 years of relevant experience.
Desired Skills- Experience deploying analytics within secure, cloud‑native frameworks.
- A 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.
Annual base salary range: $186,000–$220,000 (USD). Compensation may vary based on location, experience, education, and skill level. Additional compensation includes discretionary bonus and a comprehensive benefits package.
Benefits- Health, dental, and vision coverage fully paid by the company.
- 10% 401(k) matching with full vesting day 1.
- $5,000 annual professional development stipend.
- Student loan repayment program and 8 hours of volunteer time per year.
- Paid annual leave, holidays, and flexible work schedules through the Nyla FLEX program.
Nyla is an equal opportunity employer.
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