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# Junior Java Software Engineer [$323k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Starter
- **Salary:** $323,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Big Data, Cloud Engineering, Computer Programming, Data Cleansing, Data Stores, Relational Databases, Apache Hadoop, MapReduce, JSON, Python (Programming Language), Machine Learning, Scala (Programming Language), Software Engineering, Unstructured Data, Web Applications, Extensible Markup Language (XML), Enterprise Software Applications, Data Ingestion, Apache Spark, Containerization, Kubernetes, Apache Nifi, Data Management
- **Published:** September 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9166724/junior-java-software-engineer-323kyr-tssci-fs-poly

## About the Role

Degree: Technical bachelor's degree or equivalent experience

 - Years of experience: 6+ years
 - Total Compensation: $323k+ yearly (tentative)

## Description

* Lead software engineering efforts to extract meaningful value and insights from structured and unstructured data using Java, Python, Scala, and NiFi.
 * Develop scalable big data processing workflows, dataflows, and analytics leveraging Apache Spark, Pig, and Hadoop MapReduce.
 * Collaborate across engineering teams to implement machine learning algorithms, manage data ontologies, and support cloud-based application suites., * Devise innovative strategies and statistical methods to discover patterns and behaviors across complex datasets.
 * Serve as a technical lead guiding development teams, delegating programming and testing tasks, and ensuring strict quality control.
 * Build, enhance, and maintain data characterization, data enrichment, and automated ingestion pipelines for various data types including XML, CSV, and JSON.
 * Create data queries and maintain integration with relational databases and data repositories.
 * Support a suite of web-based applications automating compliant data management, standardization, and movement across enterprise systems.
 * Utilize modern cloud and container technologies, maintaining required AWS or Kubernetes certifications.


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