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# Mid-Level ETL Software Engineer [$282k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $282,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, 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, Load Balancing, Cloud Platform System, Real Time Systems, Apache Nifi, Restful APIs, Data Pipelines
- **Published:** October 30, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9277097/mid-level-etl-software-engineer-282kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 8+ years
 * Total Compensation: $282k+ 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 through processor tuning, memory management, and load balancing to ensure optimal performance for batch and real-time processing.
 * Identify, diagnose, and resolve NiFi data flow issues, performance bottlenecks, data discrepancies, and integration failures.
 * Write code and automation scripts in Java and Python to extract, triage, and exploit data across domains and data stores.
 * Interface with relational and NoSQL databases such as PostgreSQL, Elasticsearch, and DynamoDB using RESTful web services.
 * Collaborate with cross-functional engineering teams within a DevOps framework across all phases of the software development lifecycle.