> Markdown version of [/jobs/ext/4660003-software-engineer-level-2](https://www.wearedevelopers.com/jobs/ext/4660003-software-engineer-level-2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer Level 2 - **Company:** Markon, LLC. - **Location:** Fort Meade, MD, United States - **Salary:** $225,000 - **Contract:** Permanent contract - **Skills:** Testing (Software), Business Analytics Applications, Application Performance Management, Big Data, Distributed Systems, MapReduce, Python (Programming Language), NoSQL, NumPy, SciPy, Software Engineering, SQL Databases, Data Processing, Apache Spark, Software Troubleshooting, Pandas, Data Analytics - **Published:** November 10, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9302746/software-engineer-level-2 ## About the Role * Active TS/SCI clearance with a polygraph through this customer is required. * Bachelor's degree and 14+ years of relevant software engineering experience required. * Experience developing data analytics solutions for large-scale datasets. * Experience with one or more of the following technologies: + Apache Spark + MapReduce + SQL and/or NoSQL databases + Python analytics libraries such as Pandas, NumPy, and SciPy * Knowledge of big data processing and distributed computing environments. ## Description This role focuses on developing and maintaining high-performance analytics solutions that process large volumes of data using big data and distributed computing technologies., * Design, develop, test, and maintain cloud-based analytics applications. * Develop high-performance data processing solutions for large-scale datasets. * Build and optimize analytics using Spark, MapReduce, SQL/NoSQL, and/or Python data analytics libraries. * Support distributed computing environments and big data processing workflows. * Troubleshoot software issues and improve application performance and scalability. * Collaborate with engineering teams to develop and integrate analytics capabilities. * Support software testing, deployment, and ongoing maintenance.