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# Mid-Level ETL Software Engineer [$310k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $310,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Extract Transform Load (ETL), Data Stores, DevOps, Memory Management, Python (Programming Language), NoSQL, Performance Tuning, Data Streaming, Scripting, Load Balancing, Cloud Platform System, Real Time Systems, Data Lakes, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277095/mid-level-etl-software-engineer-310kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 12+ years
 * Total Compensation: $310k+ 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 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, and integration failures.
 * Follow established best practices for development, deployment, security, and governance to ensure enterprise data compliance.
 * Create and maintain comprehensive documentation for data flows, mappings, architectures, and standard operating procedures.
 * Collaborate with cross-functional engineering teams to translate requirements into scalable data lake solutions.
 * Utilize Java, Python, and scripting for automation and custom processor development across AWS cloud environments.