Data Operations Engineer

Essential Job Responsibilities

• Customer Engagement: Serve as a primary technical liaison between the customer and Evlos technical teams, managing expectations, communicating technical roadmaps, and translating mission-specific data requirements into actionable engineering tasks.

• Operational Leadership: Help lead the daily operations of the DataOps team with a focus on accelerating data availability, improving reliability, and minimizing the time between initial data identification and production availability.

• Systems Engineering: Oversee the deployment, maintenance, and optimization of data flows using standardized templates, shared libraries, and engineering best practices.

• Platform Reliability: Monitor platform and pipeline performance and proactively identify opportunities to improve availability, stability, and operational efficiency.

• Performance Tuning: Lead cluster performance tuning and pipeline monitoring to maintain data health and minimize data discovery latency.

• Automation & Optimization: Drive the technical evolution of the data platform from reactive maintenance toward proactive monitoring, automation, and adaptive operations.

• Data Pipeline Management: Ensure mission-critical data pipelines are scalable, reliable, documented, and aligned with customer requirements.

• Ecosystem Coordination: Facilitate technical collaboration across teams to ensure successful scripts, flow strategies, automation, and engineering practices can be reused across the broader environment.

• Quality Governance: Develop and implement automated quality gates, schema validation, and other controls to maintain data integrity before data reaches production environments.

• Technical Troubleshooting: Lead the decomposition and resolution of complex technical problems involving systemic data flow issues across distributed messaging, orchestration, and cloud environments.

• Technical Leadership: Provide guidance and mentorship to technical team members while promoting consistent engineering standards and operational best practices.

• Continuous Improvement: Identify opportunities to reduce manual processes, increase automation, improve platform resiliency, and accelerate delivery of mission-critical data.

• Perform additional duties as assigned.

Minimum Qualifications

• Active U.S. Government Secret security clearance required at the time of hire.

• U.S. citizenship is required.

• 9+ years of relevant experience in technical operations, systems engineering, data management, or a related discipline with a Bachelor’s degree; OR

• 7+ years of relevant experience with a Master’s degree in a related field; OR

• High School Diploma or equivalent with 13+ years of relevant experience.

• Demonstrated experience managing high-volume data flows and storage solutions , including distributed messaging, data orchestration, and cloud-native storage technologies.

• Strong understanding of distributed systems and complex data ecosystems.

• Experience with enterprise observability, monitoring, and log-analysis platforms used to evaluate system health, troubleshoot issues, and minimize data discovery latency.

• Strong understanding of network data, metadata, data quality, and structured and semi-structured log formats , including JSON and XML.

• Experience managing Extract, Transform, and Load (ETL) processes supporting rapid data availability and analytics.

• Experience using SQL for data validation, troubleshooting, and collaboration with technical teams and customers.

• Experience using scripting or programming languages such as Python or Java to automate repetitive processes, develop shared capabilities, and improve operational efficiency.

• Demonstrated ability to troubleshoot complex data pipeline and distributed-system issues.

• Strong technical leadership and problem-solving skills.

• Exceptional communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders.

• Demonstrated ability to translate customer mission requirements into actionable technical specifications and engineering priorities.

• Must obtain Security+ certification within 60 days of hire .

• Ability to work in a hybrid environment, spending an average of 1–2 days per week on-site in San Antonio, TX , with flexibility to accommodate changes in customer or mission schedules.

Preferred Qualifications

• Active TS/SCI U.S. Government security clearance.

• Previous experience in technical account management, customer success engineering, or other customer-facing technical role .

• Experience designing, supporting, or operating scalable distributed data-processing architectures .

• Experience with cloud-native data storage solutions .

• Previous experience supporting cybersecurity, network security, or other mission-critical technical operations .

• Knowledge of implementing automated Attribute-Based Access Control (ABAC) , data masking, or similar data governance and access-control capabilities within production pipelines.

• Experience leading or mentoring technical teams in complex operational environments.