> Markdown version of [/jobs/ext/4031982-mid-level-data-software-engineer-348k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4031982-mid-level-data-software-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 Data Software 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, Databases, Data Architecture, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Stores, Data Flow Control, Python (Programming Language), PostgreSQL, MongoDB, Neo4j, NoSQL, Oracle (Applications), Query Optimization, Redis, SQL Databases, Data Ingestion, Data Programming, Apache Nifi, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9277182/mid-level-data-software-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 * Lead data architecture, data modeling, and end-to-end data pipeline development. * Construct and maintain robust ETL and ELT workflows leveraging Python, Java, and Apache NiFi. * Manage, optimize, and query enterprise database systems including Oracle, MongoDB, PostgreSQL, Redis, and Neo4J., * Architect, implement, and maintain scalable dataflow and ingestion pipelines using Java, Python, and Apache NiFi. * Perform database engineering, data modeling, and query optimization using SQL across relational, NoSQL, and graph data stores. * Administer and integrate diverse database technologies including PostgreSQL, Oracle, MongoDB, Neo4J, and Redis. * Deploy, support, and scale data infrastructure components within AWS cloud environments. * Collaborate with cross-functional engineering teams to ensure high data integrity, reliability, and system performance.