6 дней назад
Data Operations Engineer (Hybrid)
119 574 - 165 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Engineer (Cloud/DataOps): Leading the operation and evolution of high-volume data pipelines and distributed cloud data platforms with an accent on reliability, observability, automation, and customer-facing technical leadership. Focus on designing self-healing workflows, tuning cluster performance, validating data with quality gates, and troubleshooting distributed messaging, orchestration, and storage systems.
Location: Hybrid in San Antonio, Texas, with an average of 1–2 days per week in the 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 capabilities, cyber capabilities, and data science solutions.
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 daily DataOps operations, improving data availability and reducing discovery-to-database latency.
- Oversee deployment, maintenance, monitoring, and performance tuning of data flows across distributed messaging, orchestration, and cloud environments.
- Drive the transition from reactive maintenance to proactive, automated, adaptive, and self-healing data operations.
- Implement automated quality gates and schema validation to protect data integrity before production release.
- Coordinate reusable scripts, flow strategies, and operational improvements across the data ecosystem.
Requirements
- Active Secret-level U.S. Government Security Clearance and U.S. Citizenship required.
- 9+ years of relevant experience with a Bachelor’s degree, 7 years with a related Master’s degree, or 13 years with a high school diploma or equivalent.
- Experience with high-volume data flows, distributed messaging queues, data orchestration engines, cloud-native storage, observability platforms, and log analysis.
- Knowledge of network data, metadata fill rates, JSON and XML logs, ETL processes, and SQL-based data validation.
- Ability to use Python or Java for scripting and automation, and to communicate technical concepts to non-technical stakeholders.
- Must be able to obtain Security+ certification within 60 days of hire and work in a hybrid schedule in San Antonio.
Nice to have
- Current TS/SCI clearance.
- Technical account management or customer-facing engineering experience.
- Experience with distributed data processing, cloud-native storage, cyber or network security operations.
- Knowledge of automated ABAC or data masking in production pipelines.
Culture & Benefits
- Hybrid work combining in-person collaboration with work-from-home flexibility.
- 100% company-paid employee healthcare, vision, and dental premiums.
- 10% 401(k) benefit.
- Generous paid time off and 10 paid holidays.
- Education and training allowances.
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