Data Operations Engineer (Hybrid) - 31009

Enlighten; San Antonio (TX); Hybrid; USD 120,000 - 165,000; Full time

Benefits offered by this job

Health insurance premium paid

401(k) with company match

Paid time off + holidays

Education/training allowances

Job summary

Enlighten, a leader in big data solution development, seeks a Senior DataOps Engineer to lead a technically focused team responsible for reliability, uptime, and fast data delivery. You will translate mission requirements into efficient technical workflows and ensure automated, well-documented pipelines aligned with customer needs.

The role emphasizes platform stability across high-velocity data in complex ecosystems, overseeing transition to self-healing solutions, and maintaining high-touch

Qualifications

• Active Top Secret clearance required.
• 9+ years in technical ops, systems engineering, or data management with degree; or 7 years with Master’s.
• Experience with distributed messaging queues, data orchestration engines, and cloud storage.
• Strong observability and log analysis skills for system health and latency.
• SQL knowledge for data validation with team and customer.
• Scripting ability (Python/Java) to automate tasks and improve ops.
• Excellent communication of technical concepts to non-technical stakeholders.

Responsibilities

• Lead the DataOps team to improve data availability and reduce latency from data identification to database availability.
• Oversee deployment and maintenance of data flows using standard templates and libraries.
• Tune cluster performance and monitor pipelines to minimize discovery latency.
• Guide evolution of the data platform toward automated, proactive operations.
• Coordinate ecosystem changes to reuse scripts and flow strategies across domains.
• Implement automated quality gates and schema validations before production.
• Troubleshoot complex dataflow issues across distributed systems and cloud environments.

Skills

Security clearance

Distributed systems

Cloud platforms

Observability

ETL & data validation

Automation scripting (Python/Java)

Education

Bachelor’s degree

Master’s degree

High School Diploma + 13 years experience

Job description

Why Enlighten?

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.

We recognize that the most effective environment for your projects doesn’t always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done—while having the flexibility to work from home when needed to achieve focused results.

Benefits

At Enlighten, our team’s unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company’s success, so we seek to take care of you as much as you take care of us. 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.

Anticipated Salary Range: $119,574.00 - $165,000.00. 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.

Job Description

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.

#Mid-Senior Level

Essential Job Responsibilities

• 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.
• Other duties as assigned.

Minimum Qualifications

• Clearance Requirement: Must currently have and maintain an active Top Secret level U.S. Government Security Clearance; 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 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.

Preferred Requirements

• Customer Success Background: Prior experience in a technical account management or customer-facing engineering role.
• Scalable Architectures: Experience with distributed data processing and cloud-native storage solutions.
• Security Operations: Prior experience supporting cyber or network security operations.
• Governance & Access: Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines.

We have many more additional great benefits/perks that you can find on our website at www.enlighten.com.