Data Operations Engineer

Location: Hybrid role requiring an average of 1–2 days per week at the San Antonio, TX office; U.S. Citizenship and an active Top Secret U.S. Government Security Clearance are required.

Salary: $119,574.00–$165,000.00 annually.

Company

hirify.global develops big data solutions and provides cloud services, software and systems engineering, cyber capabilities, and data science.

What you will do

• Lead customer engagement as the primary technical liaison, translating mission-specific data needs into engineering tasks and technical roadmaps.
• Help manage DataOps operations, improving data availability and reducing the latency from data identification to database availability.
• Oversee deployment, maintenance, monitoring, and performance tuning of data flows, clusters, and data infrastructure.
• Drive the transition from reactive maintenance to a proactive, automated, adaptive, and self-healing operational model.
• Coordinate the reuse of scripts, flow strategies, and operational improvements across the data ecosystem.
• Implement automated quality gates and schema validation, and troubleshoot systemic issues across distributed messaging, orchestration, and cloud environments.

Requirements

• Active Top Secret U.S. Government Security Clearance and U.S. Citizenship required.
• 9+ years of experience in technical operations, systems engineering, or data management with a Bachelor’s degree; or 7 years of relevant experience with a related Master’s degree; or a high school diploma/equivalent and 13 years of relevant experience.
• Experience managing high-volume data flow and storage using distributed messaging queues, data orchestration engines, and cloud-native storage.
• Familiarity with enterprise observability platforms and log analysis tools for monitoring system health and reducing data discovery latency.
• Knowledge of network data, metadata fill rates, and log formats including JSON and XML.
• Fluency managing extraction, translation, and loading (ETL) processes.
• Experience using SQL for data validation with technical teams and customers.
• Ability to use scripting languages such as Python or Java to build shared libraries and automate repetitive tasks.
• Exceptional communication skills for explaining technical concepts to non-technical stakeholders and translating customer requirements into technical specifications.
• Must obtain Security+ certification within 60 days of hire and work in a hybrid environment with flexibility for schedule changes.

Nice to have

• Technical account management or customer-facing engineering experience.
• Experience with distributed data processing and cloud-native storage solutions.
• Experience supporting cyber or network security operations.
• Knowledge of automated Attribute Based Access Control (ABAC) or data masking in production pipelines.

Culture & Benefits

• Hybrid work with in-person collaboration and flexibility to work from home when needed.
• 100% company-paid employee premiums for healthcare, vision, and dental plans.
• 10% 401(k) benefit, generous PTO, and 10 paid holidays.
• Education and training allowances.