Data Operations Engineer — Cloud Automation & Reliability

Mission Technologies, a division of HII; Fort Meade (MD); On-site; USD 138,000 - 195,000; Full time

Benefits offered by this job

100% paid employee premium for health/

Vision and dental plans

10% 401k benefit

PTO + 10 paid holidays

Education/training allowances

Sign-on bonus $20K

Job summary

Enlighten is seeking a Mid-Senior Data Operations leader to drive reliability, uptime, and speed-to-delivery of mission-critical data sets. You will be the primary technical contact for stakeholders, translating mission requirements into concrete engineering tasks and ensuring automated, well-documented data workflows.

You will manage the DataOps team's daily operations, oversee data flows, and guide the transition from reactive fixes to a self-healing, proactive platform with high-touch client

Qualifications

• Clearance: Must currently have and maintain an active Secret U.S. Government Security Clearance with the ability to obtain and maintain a TS/SCI; U.S. Citizenship required.
• 9+ years in technical operations, systems engineering, or data management with a Bachelor's degree; OR 7 years with Masters; OR 13 years with HS diploma.
• Distributed Systems & Cloud Platforms: experience with high-volume data flow, distributed messaging, data orchestration, cloud storage.
• Observability & Log Analysis: familiarity with enterprise observability platforms and log analysis tools.
• ETL Management: experience with extraction, translation, loading (ETL) processes.
• Data Validation: SQL for data validation with team and customer.
• Scripting for Automation: Python or Java for shared libraries and automation.
• Technical Communication: ability to convey technical concepts to non-technical stakeholders.

Responsibilities

• Customer Interface & Engagement: liaise between customer and technical team; translate needs into engineering tasks.
• Operational Leadership: manage daily DataOps operations to accelerate data availability and reduce latency.
• Systems Engineering Oversight: oversee deployment and maintenance of data flows using templates and libraries.
• Performance Tuning: tune cluster performance and monitor pipelines to minimize latency.
• Strategic Alignment: evolve data platform toward automated, proactive operational model.
• Ecosystem Coordination: ensure scripts and flow strategies are shared across ecosystems.
• Quality Governance: implement automated quality gates and schema validations.
• Technical Troubleshooting: diagnose complex dataflow issues across distributed environments.
• Other duties as assigned.

Job description

Enlighten is seeking a Mid-Senior Data Operations leader to drive reliability, uptime, and speed-to-delivery of mission-critical data sets. You will be the primary technical contact for stakeholders, translating mission requirements into concrete engineering tasks and ensuring automated, well-documented data workflows.

You will manage the DataOps team's daily operations, oversee data flows, and guide the transition from reactive fixes to a self-healing, proactive platform with high-touch client