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

- **Company:** SYSTOLIC, INC.
- **Location:** Bethesda, 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, 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:** November 11, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9308191/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 utilizing 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 optimal batch and real-time processing.
 * Identify, diagnose, and resolve data flow issues, performance bottlenecks, data discrepancies, and integration failures.
 * Write scripts and applications using Java and Python to automate tasks and extract data across disparate domains.
 * Deploy, monitor, and maintain ETL data solutions within cloud platforms including AWS.
 * Interact with and query relational and NoSQL databases such as PostgreSQL, DynamoDB, and Elasticsearch.
 * Integrate RESTful web services to ensure seamless data connectivity and pipeline interoperability.
 * Collaborate across engineering teams within a DevOps framework through all phases of the software development lifecycle.