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2 months ago

Senior Data Engineer (AI)

153 000 - 204 000$
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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Job description

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TL;DR
Senior Data Engineer (AI): Building and evolving the data lake and analytics stack for CoreWeave’s global hardware fleet with an accent on observability, data pipeline reliability, and performance tuning. Focus on maintaining complex infrastructure like Apache Iceberg, Trino, and Airflow while delivering actionable insights for executive stakeholders.

Location: Must be based in or able to work from Livingston, NJ; New York, NY; Sunnyvale, CA; San Francisco, CA; or Bellevue, WA

Salary: $153,000–$204,000

Company

CoreWeave is a specialized cloud provider for AI, delivering high-performance infrastructure and tools to accelerate breakthroughs for labs, startups, and global enterprises.

What you will do

  • Design and maintain scalable data pipelines to collect and process data from APIs, databases, and third-party services.
  • Manage and upgrade data lake infrastructure including Apache Iceberg, Trino, Airflow, Spark, and Superset.
  • Create and optimize data models to support analytics, reporting, and operational KPIs.
  • Provide ad-hoc analysis and executive-ready reporting to translate business questions into data-driven insights.
  • Implement data security and governance best practices to ensure compliance and data integrity.
  • Collaborate with cross-functional teams to integrate data into analytics platforms and identify performance improvements.

Requirements

  • Must be a U.S. person (citizen, green card holder, refugee, or asylee) to comply with U.S. export control regulations.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 4–7 years of experience as a Data Engineer in a fast-paced environment.
  • Strong proficiency in SQL and at least one programming language (Python, Java, or Scala).
  • Hands-on experience with data orchestration (Airflow) and big data technologies (Spark).
  • Experience designing and optimizing data lake or data warehouse solutions in cloud environments.

Nice to have

  • Experience with modern data lakehouse technologies like Apache Iceberg, Delta Lake, or Apache Hudi.
  • Experience with Trino or distributed SQL query engines at scale.
  • Experience with Apache Superset or similar BI visualization tools.
  • Experience supporting executive-level reporting and KPI design.

Culture & Benefits

  • 100% employer-paid medical, dental, and vision insurance.
  • 401(k) with generous employer match.
  • Comprehensive family-forming support and paid parental leave.
  • Flexible PTO and casual work environment.
  • Catered daily lunches at office and data center locations.
  • Mental wellness benefits and tuition reimbursement.

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