Data Operations Engineer

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers’ greatest challenges.

Why Enlighten?

Here are a few highlights of our benefits package:

• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances.

This position will include a $20K Sign On Bonus, if hired as an employee for Enlighten. Anticipated Salary Range: $-$. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills.

Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.

As a member of the Data Operations Team at Enlighten, you will lead a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. This role requires a heavy focus on customer interface, serving as the primary technical point of contact for stakeholders. You will translate complex mission requirements into technical workflows, ensuring that our data pipelines are automated, documented, and precisely aligned with customer needs.

This position focuses on the systems engineering and platform stability required to manage high-velocity data across complex ecosystems. You will oversee the transition from reactive data fixing to an adaptive, self-healing platform, managing the "Flow Owners" who monitor, troubleshoot, and optimize data infrastructure while maintaining high-touch communication with the client.

• Customer Interface & Engagement:
  Serve as the 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:
  Assist in managing the daily operations of the Data Ops 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:
  Assist with the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments.
• Other duties as assigned.

• Clearance Requirement:
  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.
• Must have 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.
• Distributed Systems & Cloud Platforms:
  Proven experience managing high-volume data flow and storage solutions, specifically distributed…