Mid-Level Analytics Software Engineer

Nyla Technology Solutions•Annapolis Junction, MD

6h•$149,000 - $176,000

About The Position

The Mid-Level Analytics Software Engineer develops, maintains, and enhances complex, high-performance software systems based on documented requirements. The role covers end-to-end software development in areas such as processing-intensive analytics, novel algorithm development, real-time architectures, manipulation of extremely large data sets, and enterprise-grade business management information systems. The engineer works independently and in cross-functional engineering teams and participates directly in systems-level design decisions. Responsibilities include evaluating hardware/software trade-offs, promoting software reuse, assessing COTS and GOTS integration versus greenfield development, and translating system-level requirements into component-level designs. An active security clearance at the TS/SCI polygraph level is required. The annual base salary range is $149,000–$176,000 USD, excluding discretionary bonus compensation and the benefits package. Actual compensation may vary based on geographic location, work experience, education, and skill level, among other factors.

Requirements

Active security clearance at the TS/SCI polygraph level.
Advanced proficiency in at least two core systems/data languages, such as C++, Java, Python, or Go.
Strong foundation in computer science fundamentals, computational complexity, memory management, and algorithm optimization.
Demonstrated experience with high-volume, high-velocity data pipelines, memory-mapped files, or distributed data frameworks.
Ability to write automated unit tests, integration harnesses, and mocking frameworks, and experience generating formal test reports against strict requirements.
Bachelor’s degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, plus 7 or more years of professional experience in data science, NLP, or software engineering; alternatively, a high school diploma/GED plus 11 or more years of specialized technical experience in lieu of a degree.

Nice To Haves

Direct experience evaluating, integrating, and configuring COTS and GOTS software components into secure operational baselines.
Practical experience with real-time operating systems (RTOS), low-latency network sockets, multithreaded concurrency, or kernel-space tuning.
Hands-on familiarity with distributed analytics platforms and stream-processing frameworks such as Apache Spark, Kafka, Flink, or Hadoop.
Experience containerizing complex applications with Docker and deploying them to Kubernetes or OpenShift.

Responsibilities

Develop, maintain, and enhance complex, high-performance software systems based on documented requirements.
Perform end-to-end software development for processing-intensive analytics, novel algorithms, real-time architectures, very large data sets, and enterprise-grade business management information systems.
Work independently and as part of cross-functional engineering teams.
Participate directly in systems-level design decisions.
Evaluate hardware/software trade-offs and drive software reuse.
Assess COTS and GOTS integration versus greenfield development.
Synthesize system-level requirements into component-level designs.