Senior Data Platform Developer

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

Power scalable data solutions that drive real-world impact! In this role, you will sit at the crossroads of Big Data management, algorithmic development, and visual analytics. You won't just analyze isolated datasets—you’ll manage and scale Big Data platforms, write performant code in core programming languages, and engineer prototype algorithms from the ground up. If you thrive on continuously refining models, optimizing large-scale data platforms, and transforming raw, massive datasets into clear, interactive visual dashboards, you’ll fit right in with Team Nyla.

The annual base salary range for this role is $152,000-$180,000 (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.

• Big Data Platform Engineering:
  Direct hands-on experience managing, querying, and optimizing distributed Big Data frameworks (e.g., Apache Spark, Hadoop, Elasticsearch, or AWS EMR).
• Programming Proficiency:
  Strong software engineering background using core programming languages (such as Python, Java, Scala, or C++) for algorithmic creation and data processing.
• Algorithm Development & Refinement:
  Proven track record of developing, tuning, and refining mathematical or statistical algorithms for large-scale data analysis.
• Data Visualization:
  Demonstrated ability to construct clear, dynamic visualizations, charts, and analytics dashboards using custom libraries or BI tools.

Education:

Bachelor’s Degree in Data Science, Computer Science, Computer Engineering, Applied Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, Big Data engineering, or software development 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.

Stream & Batch Processing: Experience managing real-time data streaming technologies (e.g., Apache Kafka, Apache NiFi, Flink) within a Big Data ecosystem.

Advanced Machine Learning / AI: Familiarity with modern ML/DL libraries (e.g., PyTorch, Tensor Flow, Scikit-learn) and Large Language Models (LLMs).

Database & Query Optimization: Hands-on experience tuning No

SQL (e.g., Accumulo, Cassandra) and relational database queries for high-speed indexing and retrieval.

Dev Ops & Engineering Practices: Practical experience using version control (Git), containerization (Docker, Kubernetes), and CI/CD deployment pipelines.

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.

If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team,

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle.

• PAY
  - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!
• LEAVE
  - Want to spend more time with the family? Want more time to travel the world? You can BUY…