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# Senior ETL Software Engineer [$338k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $338,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Automation of Tests, Big Data, Extract Transform Load (ETL), Data Stores, DevOps, Memory Management, Python (Programming Language), NoSQL, Performance Tuning, Data Streaming, Load Balancing, Cloud Platform System, Real Time Systems, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277099/senior-etl-software-engineer-338kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 20+ years
 * Total Compensation: $338k+ 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.
 * Adhere to established best practices for NiFi development, deployment, security, and governance.
 * Create and maintain comprehensive documentation for data flows, mappings, architectures, and standard operating procedures.
 * Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
 * Develop automation scripts and custom processors using Java and Python to triage and exploit data across domains.