> Markdown version of [/jobs/ext/4657767-mid-level-full-stack-engineer-346k-yr-ts-sci-fs-poly](https://www.wearedevelopers.com/jobs/ext/4657767-mid-level-full-stack-engineer-346k-yr-ts-sci-fs-poly). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Mid-Level Full-Stack Engineer [$346k/yr+] TS/SCI-FS Poly

- **Company:** SYSTOLIC, INC.
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Experienced
- **Salary:** $346,000
- **Contract:** Permanent contract
- **Skills:** Query Performance, Java (Programming Language), Confluence, JIRA, Build Automation, Linux, Elasticsearch, Data Flow Control, Issue Tracking Systems, Spring Framework, Apache Maven, MongoDB, Redis, Software Systems, User-Centered Design, Data Processing, Data Storage Technologies, Spring-boot, Git, Apache Nifi, Npm(Software), Restful APIs, Data Pipelines
- **Published:** November 10, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9300956/mid-level-full-stack-engineer-346kyr-tssci-fs-poly

## About the Role

* Degree: Technical bachelor's degree or equivalent experience
 * Years of experience: 12+ years
 * Total Compensation: $346k+ yearly

## Description

* Design and develop full-stack data processing solutions, REST APIs, and user visualizations using Java and Spring Boot.
 * Manage data ingest pipelines and persistence utilizing Apache NiFi, Elasticsearch, MongoDB, and Redis within a Linux environment.
 * Implement build automation and issue tracking using Maven, npm, Git, Jira, and Confluence., * Drive the continual evolution of mature software systems, leading the end-to-end design and implementation of data processing workflows.
 * Build and scale Java-based REST APIs using Spring Boot and related Spring framework libraries.
 * Manage and optimize data storage, retrieval, and query performance across Elasticsearch, Dgraph, MongoDB, and Redis.
 * Implement and maintain robust dataflow pipelines and wrangling workflows using tools such as Apache NiFi.
 * Collaborate across multi-functional engineering teams to ensure system stability, performance, and streamlined deployment.