> Markdown version of [/jobs/ext/4716429-junior-etl-software-engineer-207k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4716429-junior-etl-software-engineer-207k-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). --- # Junior ETL Software Engineer [$207k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Bethesda, MD, United States - **Experience:** Starter - **Salary:** $207,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Extract Transform Load (ETL), Data Stores, DevOps, Memory Management, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Data Streaming, Load Balancing, Real Time Systems, Apache Nifi, Restful APIs, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9313635/junior-etl-software-engineer-207kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 4+ years * Total Compensation: $207k+ yearly (tentative) ## Description * Develop and manage enterprise-level ETL data pipelines utilizing Apache NiFi, Java, and Python. * Build, optimize, and troubleshoot large-scale data ingestion and transformation workflows across enterprise cloud environments. * Integrate relational and NoSQL data stores via REST APIs within a collaborative DevOps lifecycle., * Develop and implement enterprise-level ETL NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources. * Optimize NiFi data flows, including processor tuning, memory management, and load balancing for batch and real-time processing. * Identify, diagnose, and resolve data flow issues, performance bottlenecks, data discrepancies, and integration failures. * Write and maintain code and automation scripts using Java and Python to extract, triage, and exploit data across domains. * Interface with cloud platforms such as AWS and data stores including PostgreSQL, Elasticsearch, and DynamoDB. * Integrate RESTful web services to ensure seamless data connectivity and pipeline interoperability. * Collaborate across engineering teams to translate requirements into robust technical solutions within a DevOps framework. * Create and maintain comprehensive documentation for data flows, system mappings, architectures, and standard operating procedures.