> Markdown version of [/jobs/ext/4024866-junior-java-etl-engineer-244k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4024866-junior-java-etl-engineer-244k-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 Java ETL Engineer [$244k/yr+] TS/SCI-FS Poly - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States - **Experience:** Starter - **Salary:** $244,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Big Data, Extract Transform Load (ETL), Data Stores, DevOps, Memory Management, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Software Engineering, Data Streaming, Systems Integration, Load Balancing, Cloud Platform System, Real Time Systems, Production Code, Apache Nifi, Restful APIs, Oracle Cloud Infrastructure, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9277105/junior-java-etl-engineer-244kyr-tssci-fs-poly ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 4+ years * Total Compensation: $244k+ yearly (tentative) ## Description * Develop and manage enterprise-level ETL data pipelines using Apache NiFi, Java, and Python. * Build, optimize, and troubleshoot large-scale data ingestion and transformation flows across cloud environments including AWS. * Integrate relational and NoSQL data stores via REST APIs within a DevOps lifecycle to support an enterprise data lake., * 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, ensuring optimal performance for batch and real-time processing. * Identify, diagnose, and resolve NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures. * Write robust code and automation scripts in Java and Python to extract, triage, and exploit data across diverse domains and data stores. * Deploy ETL solutions into cloud environments such as AWS, Azure, or OCI, integrating with services including DynamoDB, Elasticsearch, and PostgreSQL. * Implement RESTful API integrations for seamless connectivity between external sources and the enterprise data lake. * Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures. * Collaborate effectively within a DevOps framework with data architects, developers, and stakeholders throughout the software development lifecycle.