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# Mid-Level Analytics Software Engineer

- **Company:** Nyla Technology Solutions
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $149,000 - $176,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Algorithm Design, Business Analytics Applications, Data Analysis, Unit Testing, Big Data, C++ (Programming Language), Network Sockets, Code Reuse, Computational Linguistics, Data Structures, Distributed Data Store, Memory Management, Apache Hadoop, Python (Programming Language), OpenShift, Real-Time Operating Systems, Software Engineering, Systems Integration, Multithreading, Apache Spark, Test Scripts, Containerization, Kubernetes, Information Technology, Low Latency, Apache Flink, Apache Kafka, Stream Processing, Data Pipelines, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=77d99c2b191c8b21

## About the Role

Language Proficiency: Advanced proficiency in at least two core systems/data languages (e.g., C++, Java, Python, or Go).Algorithm & Data Structure Design: Strong foundation in computer science fundamentals, computational complexity, memory management, and algorithm optimization.

Large-Scale Data Manipulation: Demonstrated experience working with high-volume, high-velocity data pipelines, memory-mapped files, or distributed data frameworks.

Testing & Quality Assurance: Proven capability writing automated unit tests, integration harnesses, and mocking frameworks; experience generating formal test reports against strict requirements.

Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 7+ years of professional experience in data science, NLP, or software engineering OR High School Diploma / GED, PLUS 11+ years of specialized technical experience in lieu of a degree.

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Desired Skills

COTS/GOTS Integration: Direct background evaluating, integrating, and configuring COTS and GOTS software components into secure operational baselines.
Real-Time & Embedded Systems: Practical experience with real-time operating systems (RTOS), low-latency network sockets, multi-threaded concurrency, or kernel-space tuning.
Distributed Analytics Engines: Hands-on familiarity with distributed analytics platforms and stream processing frameworks (e.g., Apache Spark, Kafka, Flink, Hadoop).
Containerization & Orchestration: Experience containerizing complex applications using Docker and deploying to orchestrators such as Kubernetes or OpenShift.

## Description

The Mid-Level Software Engineer develops, maintains, and enhances complex, high-performance software systems based on documented requirements. This role encompasses end-to-end software development across demanding domains, including processing-intensive analytics, novel algorithm development, real-time architectures, manipulation of extremely large data sets, and enterprise-grade business management information systems. Operating both independently and in cross-functional engineering teams, the engineer participates directly in systems-level design decisions. Key responsibilities include evaluating hardware/software trade-offs, driving software reuse, assessing Commercial Off-the-Shelf (COTS) and Government Off-the-Shelf (GOTS) integration versus greenfield development, and synthesizing system-level requirements into component-level designs.