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8 дней назад

Data Operations Engineer

103 690 - 160 605$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Operations Engineer (DataOps): Operating and improving high-volume data pipelines, distributed messaging systems, orchestration engines, and cloud-native storage with an accent on reliability, observability, data quality, and customer-facing technical coordination. Focus on tuning distributed dataflows, implementing automated schema and quality checks, and transitioning operational support from reactive troubleshooting to proactive automation.

Location: Fort Meade, Maryland, United States; onsite attendance typically four to five days per week, subject to customer requirements.

Salary: $103,690–$160,605 USD per year.

Company

hirify.global delivers mission and technical expertise for national security, defense, and technology challenges.

What you will do

  • Serve as the technical point of contact for customer stakeholders, translating mission data needs into engineering tasks, workflows, and delivery expectations.
  • Coordinate daily DataOps activities and guide flow owners responsible for monitoring, maintaining, and improving data infrastructure.
  • Oversee dataflow deployment and maintenance using standardized engineering templates, core libraries, and reusable processes.
  • Monitor pipeline health, data availability, system uptime, and discovery latency across distributed messaging, orchestration, and cloud environments.
  • Tune cluster and pipeline performance, diagnose distributed dataflow and platform-stability issues, and coordinate remediation.
  • Implement automated quality gates, schema checks, validation workflows, ETL improvements, metadata processes, and operational automation.

Requirements

  • U.S. citizenship and a current, active U.S. Government Secret security clearance, with the ability to obtain and maintain TS/SCI.
  • At least 9 years of experience in technical operations, systems engineering, or data management with a relevant bachelor's degree; 7 years with a related master's degree; or 13 years with a high-school diploma or equivalent.
  • Experience supporting high-volume dataflows and storage across distributed messaging systems, data orchestration engines, and cloud-native storage platforms.
  • Experience with observability and log-analysis tools for system health, dataflow performance, and data discovery latency.
  • Understanding of network data, metadata completeness or fill rates, and JSON and XML formats.
  • Experience managing ETL workflows and using SQL to validate data quality with technical teams and customers.
  • Ability to automate repeatable operational tasks through Python or Java scripting and reusable shared libraries.
  • Ability to troubleshoot distributed dataflow issues, tune performance, and implement automated quality checks and schema validation.
  • Strong customer-facing communication, technical coordination, and requirements-translation skills, including explaining complex systems to nontechnical stakeholders; ability to work onsite in Fort Meade four to five days per week and adapt to customer schedule changes.

Nice to have

  • A currently active TS/SCI clearance.
  • Prior customer-facing engineering, technical account management, or customer success experience.
  • Experience designing or operating scalable distributed processing and cloud-native storage architectures.
  • Experience supporting cyber or network-security operations.
  • Knowledge of automated attribute-based access control or data masking within production pipelines.

Culture & Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Health Savings Account with company contribution.
  • Annual paid time off, paid holidays, and paid parental leave.
  • 401(k) with company match and financial wellness support.
  • Training and development opportunities, award programs, and company-sponsored events.
  • Focus on employee well-being, professional growth, and work-life balance.

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