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# Junior ETL Software 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, Big Data, Databases, Extract Transform Load (ETL), Data Mining, Data Stores, DevOps, Memory Management, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Cloud Services, Data Streaming, Enterprise Data Management, Load Balancing, Cloud Platform System, Real Time Systems, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277105/junior-etl-software-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., * 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 NiFi data flow issues, performance bottlenecks, data discrepancies, and integration failures.
 * Follow established best practices for NiFi development, deployment, security, and governance adhering to enterprise data management policies.
 * Develop code and scripts using Java and Python to extract, triage, and exploit data across domains.
 * Support the design, development, implementation, and testing of tools and applications for data extraction, transformation, and loading into enterprise data stores.
 * Collaborate with cross-functional engineering teams to translate requirements into robust technical solutions.
 * Integrate and interact with cloud services and databases such as AWS, PostgreSQL, Elasticsearch, and DynamoDB.