Hiring: Data Operations Engineer (Hybrid) - 30180 Company: Enlighten Location: San Antonio, TX Job Posted Time: 2026-09-10 12:10:03 Employment Type: Hybrid Target Skills & Keywords : ABAC, Data Pipeline, ETL, Java, Python, SQL, Security Clearance, Systems Engineering About the job Experience: •9+ years in technical operations, systems engineering, or data management with a Bachelor’s degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience. Required Skills: •Customer Interface & Engagement: Serve as the lead liaison between the customer and the technical team. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks. •Operational Leadership: Help manage the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability. •Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team. •Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized. •Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model. •Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others. •Quality Governance: Implement automated "Quality Gates" and schema validations to ensure data integrity before it reaches production environments. •Technical Troubleshooting: Lead the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments. Qualifications: •Clearance Requirement: Must currently have and maintain an active Secret level U.S. Government Security Clearance; U.S. Citizenship required. •Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage. •Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency. •Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML. •ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics. •Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer. •Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency. •Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications. •Must be able to obtain Security+ certification within 60 days of hire. •Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our San Antonio, TX office. Flexibility is essential to adapt to schedule changes as needed. Compensation: •$119,574 - $165,000 / year •100% paid employee premium for healthcare, vision and dental plans Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!