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8 часов назад

Senior Data Engineer

241 000 - 255 000$
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

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TL;DR
Senior Data Engineer (Data Science/ML): Design, develop, and operate a secure, scalable, and reliable data platform supporting engineering, supply chain, manufacturing, and finance with an accent on large-scale batch and real-time data pipelines, ELT processes, and data governance. Focus on scaling data infrastructure, improving performance and reliability, collaborating cross-functionally, and maintaining 24/7 production schedules.

Location

Location: Onsite at headquarters in Everett, WA, United States

Company

hirify.global is a fusion power startup based in Everett, WA, focused on building the world's first fusion power plant to enable clean, reliable, and affordable energy.

What you will do

  • Design and develop large-scale batch and real-time data pipelines, ELT processes, data warehouses, and data lakes on-premises and in the cloud
  • Scale the data platform to support operational growth from millions of parts per year to millions per day
  • Monitor and improve performance and reliability of data connections using observability tools
  • Ensure data quality and governance by managing metadata such as schemas, lineage, and access control
  • Collaborate with software engineers, data analysts, scientists, engineering disciplines, leadership, and vendors to deliver data solutions
  • Participate in on-call rotations to maintain SLA and prevent data issues impacting 24/7 production

Requirements

  • Bachelor’s degree in computer science or related field
  • 8+ years of software and/or data engineering experience with large-scale distributed data systems
  • Hands-on experience with Kafka, Postgres, blob storage, Flink, dbt, Iceberg
  • Expertise in Python and SQL; experience with Java, Scala, or Go
  • Cloud-native experience with Azure, AWS, and/or Google Cloud; container orchestration with Docker, Kubernetes; infrastructure-as-code with Terraform
  • Familiarity with DevOps best practices, version control (Git), CI/CD, monitoring and alerting tools
  • Experience with AI/ML including LLMs and MCP servers

Culture & Benefits

  • Medical, dental, and vision plans for employees and families
  • 31 days PTO (21 vacation, 10 sick days) plus 10 paid holidays and winter break
  • Up to 5% employer 401(k) match
  • Short and long term disability, life insurance
  • Paid parental leave up to 16 weeks
  • Annual wellness stipend

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