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# Junior ETL Software Engineer [$226k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Starter
- **Salary:** $226,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Automation of Tests, Big Data, Data Integration, Extract Transform Load (ETL), Data Stores, DevOps, Memory Management, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Data Streaming, Enterprise Data Management, Load Balancing, Cloud Platform System, Real Time Systems, Backend, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277102/junior-etl-software-engineer-226kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 2+ years
 * Total Compensation: $226k+ 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 RESTful web services within a DevOps lifecycle., * Develop and implement enterprise-level ETL NiFi data pipelines for large-scale data ingestion, transformation, and processing.
 * Optimize NiFi data flows, processor tuning, memory management, and load balancing for batch and real-time processing.
 * Identify, diagnose, and resolve data flow performance bottlenecks, discrepancies, and integration failures.
 * Adhere to established development, deployment, security, and governance best practices for enterprise data management.
 * Create and maintain comprehensive documentation for data flows, mappings, architectures, and operating procedures.
 * Collaborate with cross-functional teams to translate technical requirements into scalable data solutions.
 * Develop automation scripts and backend code utilizing Java, Python, and RESTful APIs.
 * Support data integration and pipeline deployment across AWS, PostgreSQL, DynamoDB, and Elasticsearch environments.