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4 дня назад

Senior Data Engineer (Emerging Products)

140 000 - 200 000$
Формат работы
remote (только USA)/hybrid
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
Senior Data Engineer (Emerging Products) (Kafka/Spark/Iceberg/Databricks): Building and scaling lakehouse architectures with streaming and batch pipelines that deliver reliable data to analytics and data science workloads with an accent on Medallion-layer design, open table formats, and distributed data processing. Focus on optimizing large-scale query engines, solving pipeline reliability and data quality challenges, and enabling self-serve analytics.

Location: Remote from home within the USA, limited to CA, CO, CT, FL, GA, IL, KS, MA, MD, ME, NJ, NC, NY, OH, OR, TN, TX, VA, and WA; hybrid work is available from offices in Austin, TX or Tampa, FL. Chicago city limits are excluded. Onsite interviews may be required.

Base salary: $140,000–$200,000 USD annually.

Company

hirify.global provides a Unified IT Operations Platform for endpoint management, patching, backup, remote access, and IT operations for nearly 40,000 customers in 140+ countries.

What you will do

  • Design and implement Bronze, Silver, and Gold Medallion-layer lakehouse architectures.
  • Build and maintain scalable Kafka, Spark, and Airflow streaming and batch pipelines.
  • Manage Iceberg, Delta Lake, and Hudi table formats and select suitable formats for different workloads.
  • Optimize large-scale analytics queries in Trino/Starburst and Databricks environments.
  • Monitor pipeline health, troubleshoot data quality and performance issues, and improve platform reliability.
  • Partner with data scientists, analysts, and product teams to deliver data platform solutions.

Requirements

  • 10+ years of data engineering experience focused on data platforms and distributed systems.
  • Hands-on experience building and managing lakehouse architectures with Medallion layering.
  • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for streaming and batch pipelines.
  • Proficiency with Iceberg, Delta Lake, or Hudi, including evaluating trade-offs and selecting formats for workloads.
  • Experience with Databricks for large-scale data processing and analytics.
  • Strong proficiency in Python and SQL.
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • Must be a U.S. citizen or lawful permanent resident; visa sponsorship is not available.

Nice to have

  • Hands-on experience with Trino or Starburst for distributed query execution.
  • Familiarity with hybrid streaming/batch architectures and event-driven data systems.
  • Experience designing Gold-layer datasets for business intelligence and self-serve analytics.

Culture & Benefits

  • Collaborative, kind, and curious working environment.
  • Full-time hybrid-remote flexibility.
  • Medical, dental, vision, life insurance, 401(k), and PTO, including unlimited PTO.
  • Opportunities for growth and advancement.

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