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2 дня назад

Senior Data Engineer

125 000 - 145 000$
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 Data Engineer: Building and optimizing high-load backend data ingest services for a distributed data platform with an accent on reliability, cost efficiency, and operational clarity at scale. Focus on designing robust data pipelines, managing orchestration workflows, and implementing data quality monitoring.

Location: Remote (United States)

Salary: $125,000–$145,000 + Bonus

Company

hirify.global is creating a new category of energy by making software that manages energy resources in homes and businesses to balance the grid, accelerating the transition to clean energy.

What you will do

  • Own critical ingest systems end to end, improving reliability, cost efficiency, and operational clarity.
  • Lead design and delivery for new capabilities and define monitoring and SLAs.
  • Design, build, and maintain data pipelines using Databricks (Spark, Delta Lake) and Python.
  • Develop and manage orchestration workflows using Airflow.
  • Define and implement data quality, freshness, and volume metrics, plus monitoring and alerting.
  • Continuously optimize pipelines for cost, performance, and scalability in cloud environments.

Requirements

  • 5 to 8 years of experience in data engineering or backend engineering roles.
  • Strong working knowledge of Databricks, Spark, or similar distributed data systems, including production operations.
  • Experience with Airflow or other workflow orchestration tools in production.
  • Proficient in Python and SQL, with an understanding of scalable data design and performance tuning.
  • Familiarity with cloud platforms (GCP or AWS) and cost performance tradeoffs.
  • Demonstrated ownership of resilient systems, including on call, incident response, and post incident improvements.

Nice to have

  • Experience with real time or streaming data systems (Kafka, Structured Streaming).
  • Understanding of data observability, lineage, and quality checks at scale.
  • Prior work in the utility or energy sector.
  • Exposure to infrastructure as code tools (Terraform) and CI CD pipelines.

Culture & Benefits

  • Make a meaningful impact on decarbonization and building a sustainable future.
  • Ample advancement opportunities and robust learning and development programs.
  • Comprehensive benefits, including flexible time off, generous parental leave, and a wellness stipend.
  • Inclusive workplace where everyone feels respected, empowered, and heard.
  • Collaborative environment where ideas are valued and contributions recognized.

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