Назад
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9 часов назад

Senior DataOps Engineer

130 000 - 160 000$
Формат работы
remote (только USA)
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

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TL;DR

Senior DataOps Engineer (Spark/Data Platforms): Owning data analytics infrastructure from build and deployment pipelines to large-scale Spark-based processing environments with an accent on cloud provisioning, CI/CD automation, and distributed systems operations. Focus on designing scalable infrastructure templates, resolving pipeline issues, monitoring performance, and fostering DataOps best practices.

Location: Remote US

Salary: $130,000 - $160,000 a year

Company

Leading FHIR-based health data platform enabling collection and exchange of structured healthcare data across 20+ countries, ranked #19 on Deloitte's Technology Fast 50 for 2024.

What you will do

  • Build, maintain, and operate CI/CD pipelines and infrastructure-as-code for the platform and services.
  • Provision and manage cloud-based Spark clusters and distributed data processing with tools like Airflow, Databricks, or EMR.
  • Develop, test, and monitor data pipelines from setup to production.
  • Design scalable, secure infrastructure templates across AWS, Azure, GCP, or OCI.
  • Investigate issues, perform root-cause analysis, and implement fixes for pipelines and integrations.
  • Monitor systems, respond to incidents, optimize performance, and control cloud costs.

Requirements

  • 6+ years in DevOps, DataOps, or data platform engineering
  • Hands-on with Apache Spark and managed platforms (Databricks, AWS EMR, GCP Dataproc)
  • Proficiency in Python; knowledge of Java or Scala
  • Experience with orchestration tools (Apache Airflow, Prefect)
  • Strong CI/CD with GitLab CI, Jenkins, or GitHub Actions
  • IaC with Terraform, Ansible (CloudFormation, ARM Templates a plus)
  • Operating Linux and public clouds (AWS, Azure, GCP, OCI)
  • Familiarity with Kubernetes for data workloads
  • Ability to manage multiple workstreams and meet timelines
  • Customer-first mindset and strong communication skills

Culture & Benefits

  • Remote work environment
  • Flexible time away policy including PTO, personal, and sick days
  • Competitive salary and health/medical benefits
  • RRSP/TFSA/401K contributions
  • Life and disability insurance, employee assistance program
  • FHIR study program, Skillsoft learning, Super HAPI Fun Club
  • Core values of respect, inclusion, diversity, equity, and belonging

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