> Markdown version of [/jobs/ext/4423906-mid-level-python-engineer-348k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4423906-mid-level-python-engineer-348k-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 [$348k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Herndon, VA, United States - **Experience:** Experienced - **Salary:** $348,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Data Stores, DevOps, Elasticsearch, Data Flow Control, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Scrum Methodology, Scala (Programming Language), SQL Databases, Unstructured Data, System Availability, Software Security, Git, Containerization, Storage Technologies, Apache Nifi, Docker, Vulnerability Analysis, Golang, Microservices - **Published:** October 31, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9277178/mid-level-python-engineer-348kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 13+ years * Total Compensation: $348k+ yearly (tentative) ## Description * Develop and maintain high-performance data exploitation platforms that support and enhance data collection capabilities. * Ingest, transform, model, and store structured, semi-structured, and unstructured data within modern cloud environments. * Build robust and scalable services leveraging Python, Java, Go, C#, and Scala alongside SQL and NoSQL data stores., * Design, implement, and maintain complex dataflow solutions using tools such as Apache NiFi. * Containerize and orchestrate platform microservices using Docker and Kubernetes across AWS and Microsoft Azure. * Administer and query enterprise data storage technologies, including PostgreSQL, MySQL, MongoDB, and Elasticsearch. * Integrate machine learning and artificial intelligence capabilities to extract actionable insights from data. * Conduct requirements analysis and vulnerability assessments to maintain software security and platform reliability. * Work collaboratively in an Agile/Scrum environment following DevOps best practices and utilizing Git for version control.