DataOps Engineer – Hybrid, Customer-Facing, Cloud

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

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