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Data Operations Engineer (Hybrid) - 30180

119 574 - 165 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Operations Engineer (Hybrid) - 30180 (Data Operations/Cloud): Leading the reliability, uptime, and delivery of mission-critical data sets while translating customer requirements into automated, documented data workflows with an accent on distributed systems, cloud platforms, and data quality. Focus on tuning clusters, troubleshooting systemic dataflow issues, implementing quality gates and schema validation, and evolving operations toward a proactive self-healing platform.

Location: Hybrid, with an average of 1–2 days per week at the San Antonio, TX office; U.S. citizenship and an active Secret-level U.S. Government Security Clearance are required.

Salary: $119,574–$165,000 per year.

Company

Develops and deploys big data solutions, cloud-based services, software and systems engineering, cyber capabilities, and data science solutions.

What you will do

  • Lead customer engagement as the primary technical liaison, manage expectations, communicate technical roadmaps, and translate mission-specific data needs into engineering tasks.
  • Help manage daily DataOps operations, accelerating data availability and reducing the latency from data identification to database availability.
  • Oversee deployment and maintenance of data flows using standardized templates and engineering libraries.
  • Tune cluster performance and monitor pipelines to maintain data health and minimize discovery latency.
  • Drive the transition from reactive maintenance to a proactive, automated, adaptive, and self-healing operational model.
  • Coordinate ecosystem-wide reuse of scripts and flow strategies, implement quality gates and schema validation, and troubleshoot distributed dataflow issues.

Requirements

  • Active Secret-level U.S. Government Security Clearance and U.S. citizenship.
  • At least 9 years of technical operations, systems engineering, or data management experience with a Bachelor’s degree; or 7 years of relevant experience with a related Master’s degree; or a high school diploma or equivalent plus 13 years of relevant experience.
  • Experience managing high-volume data flows and storage using distributed messaging queues, data orchestration engines, and cloud-native storage.
  • Strong familiarity with enterprise observability platforms and log analysis tools.
  • Deep understanding of network data, metadata fill rates, and JSON and XML log formats.
  • Fluency managing extraction, translation, and loading processes for rapid analytics.
  • Experience using SQL for data validation with technical teams and customers.
  • Ability to use Python or Java to build shared libraries and automate repetitive tasks.
  • Exceptional communication skills for explaining technical concepts to non-technical stakeholders and translating mission 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

  • Current TS/SCI clearance.
  • Experience in technical account management or customer-facing engineering.
  • Experience with distributed data processing and cloud-native storage solutions.
  • Experience supporting cyber or network security operations.
  • Knowledge of automated Attribute Based Access Control or data masking in production pipelines.

Culture & Benefits

  • Hybrid work with the ability to work from home when focused work is needed.
  • 100% employee premium coverage for healthcare, vision, and dental plans.
  • 10% 401(k) benefit.
  • Generous paid time off and 10 paid holidays.
  • Education and training allowances.

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