обновлено 3 дня назад
Data Operations Engineer
137 510 - 195 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Operations Engineer (Cloud/DataOps): Leading the reliability, uptime, and delivery speed of mission-critical data pipelines with an accent on distributed systems, cloud-native storage, observability, and customer-facing technical leadership. Focus on automating data flows, implementing quality gates and schema validation, tuning cluster performance, and building proactive self-healing operations.
Location: Fort Meade, Maryland, US; customer site attendance required 4–5 days per week
Salary: $137,510–$195,000 per year; $20,000 employee sign-on bonus
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 daily DataOps activities focused on data availability, reliability, uptime, and delivery speed.
- Serve as the primary technical liaison for customers and translate mission requirements into engineering workflows.
- Oversee deployment, maintenance, monitoring, and performance tuning of data flows across distributed and cloud environments.
- Drive the transition from reactive data maintenance to proactive, automated, and adaptive operations.
- Implement automated quality gates and schema validation to protect data integrity before production release.
- Coordinate reusable scripts, flow strategies, troubleshooting practices, and technical improvements across the ecosystem.
Requirements
- U.S. citizenship and an active Secret U.S. Government Security Clearance are required; ability to obtain and maintain TS/SCI is required.
- On-site availability in Fort Meade, Maryland, 4–5 days per week is 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, orchestration engines, cloud-native storage, observability platforms, and log analysis.
- Knowledge of network data, metadata fill rates, JSON and XML formats, ETL processes, and SQL-based data validation.
- Ability to use Python or Java for automation and communicate technical concepts to non-technical stakeholders.
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, ABAC, or data masking.
Culture & Benefits
- 100% paid employee premiums for healthcare, vision, and dental plans.
- 10% 401(k) benefit.
- Generous paid time off and 10 paid holidays.
- Education and training allowances.
- Additional compensation may be available depending on the offer and role factors.
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