> Markdown version of [/jobs/ext/4721846-mid-level-data-systems-engineer-274k-yr-s](https://www.wearedevelopers.com/jobs/ext/4721846-mid-level-data-systems-engineer-274k-yr-s). 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 Data Systems Engineer [$274k/yr+] S - **Company:** SYSTOLIC, INC. - **Location:** Annapolis Junction, MD, United States (Remote available) - **Experience:** Experienced - **Salary:** $274,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Cloud Storage, Data Integrity, Data Systems, Distributed Systems, Data Flow Control, Python (Programming Language), DataOps, SQL Databases, Data Streaming - **Published:** November 14, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9313686/mid-level-data-systems-engineer-274kyr-s ## About the Role * Degree: Technical bachelor's degree or equivalent experience * Years of experience: 9+ years * Total Compensation: $274k+ yearly ## Description * Lead a high-performing data operations team responsible for platform reliability, uptime, and rapid delivery of mission-critical data. * Translate complex stakeholder requirements into robust, automated technical workflows and resilient pipelines. * Transition operations from reactive maintenance toward an adaptive, self-healing data ecosystem while tuning cluster performance., * Serve as the primary technical liaison to communicate roadmaps and translate mission data requirements into engineering tasks. * Oversee daily data operations, accelerating data availability and reducing discovery latency. * Monitor and tune cluster performance while maintaining data flows across distributed messaging, orchestration, and cloud storage. * Implement automated quality gates and schema validation routines using SQL to ensure data integrity. * Automate repetitive processes and build reusable libraries utilizing Python and Java. * Investigate and resolve systemic dataflow and pipeline anomalies across distributed environments. Telework: This position offers a hybrid work arrangement requiring an average of two days per week on-site with telework for the remainder.