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# Entry-Level ETL Engineer [$197k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Bethesda, MD, United States
- **Experience:** Starter
- **Salary:** $197,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Databases, Extract Transform Load (ETL), Data Stores, Data Systems, DevOps, Memory Management, Amazon DynamoDB, Elasticsearch, Python (Programming Language), PostgreSQL, NoSQL, Performance Tuning, Cloud Services, 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/9308187/entry-level-etl-engineer-197kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 0+ years
 * Total Compensation: $197k+ 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 using 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 bottlenecks, data discrepancies, and integration issues.
 * Develop automation scripts and code in Java or Python to extract, triage, and exploit data across various domains and data stores.
 * Integrate data solutions with cloud services and databases such as AWS, PostgreSQL, DynamoDB, and Elasticsearch using REST APIs.
 * Adhere to established best practices for NiFi development, deployment, security, and governance within a DevOps framework.
 * Create and maintain comprehensive technical documentation for data flows, mappings, architectures, and operating procedures.
 * Collaborate with cross-functional teams to translate technical requirements into robust data solutions.