Mid-Level Data Systems Engineer [$274k/yr+] S

• 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.

• Degree: Technical bachelor’s degree or equivalent experience
• Years of experience: 9+ years
• Total Compensation: $274k+ yearly