> Markdown version of [/jobs/ext/3639296-mid-level-python-engineer-214k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/3639296-mid-level-python-engineer-214k-yr-ts-sci-fs-poly). 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). --- # Mid-Level Python Engineer [$214k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Experienced - **Salary:** $214,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Bash Shell, Big Data, Code Reuse, Data Mining, Data Visualization, Relational Databases, Linux, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Software Deployment, Software Systems, Software Vulnerability Management, Data Ingestion, Git, Containerization, Bug Reporting, Docker - **Published:** October 8, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9224652/mid-level-python-engineer-214kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 7+ years * Total Compensation: $214k+ yearly ## Description * Develop and maintain software systems supporting data visualization, data ingestion, and data extraction. * Utilize Python, Bash, Docker, and relational databases across Linux and Windows environments. * Perform comprehensive requirements analysis, software testing, and vulnerability remediation., * Develop, maintain, and enhance complex software systems, algorithms, and analytics handling large data sets. * Build data ingestion, extraction, and visualization pipelines using Python and Bash scripting. * Design, manage, and query relational databases including PostgreSQL and SQL Server. * Containerize and deploy applications using Docker and maintain source code using Git. * Review, test, and document software components to adhere to design requirements and resolve problem reports. * Provide input on hardware/software trade-offs, software reuse, and COTS/GOTS integration across Linux and Windows environments.