Principal Software Engineer (Spark)

Company: Cloudera

Location: US-Texas-Austin, United States of America {{REMOTE}}

Salary: $270k - $320k per year

Type: Full-time

Posted: 2026-05-29

About this role

  • This high-impact IC role offers the opportunity to shape the future of Cloudera’s Data Engineering and Lakehouse products across multiple cloud environments, impacting thousands of customers worldwide
  • Drive the multi-year technical roadmap and architectural vision for Cloudera Data Engineering
  • Gain deep technical knowledge across the data services technical stack, with a focus on Spark, Airflow, Iceberg, and apply this expertise in your daily work
  • Foster engineering excellence through technical mentorship, design reviews, and architectural guidance
  • Collaborate with product, engineering, and cross-functional partners, leading the delivery of several large, critical features in Cloudera’s data engineering experience
  • Work on large-scale distributed systems, ranging from hundreds to thousands of nodes in production clusters
  • Bring passion for programming, clean coding practices, attention to detail, and a strong focus on quality

### Benefits

  • Comprehensive medical, dental, and vision plans
  • On-site gyms at various locations
  • Gym reimbursement
  • Paid medical disability & child bonding leaves
  • Volunteer time off policy
  • Quarterly team building offsites
  • Tuition reimbursement
  • Free and catered lunches based on office location
  • Discount programs
  • Business travel insurance
  • Work from home opportunities- We are seeking a Principal Staff Engineer with a strong technical background in the data infrastructure space to lead the Cloudera Data Engineering experience for all customers using Cloudera Data Engineering Spark, Airflow, and Lakehouse
  • Strong understanding of at least one of the following languages: Java, Scala, C++, Python, GoLang. And interested to learn the languages we’re using
  • Experience with using/developing Apache Spark/Airflow or other related technologies
  • Deep expertise in distributed data processing systems and cloud-native architectures
  • (Most importantly) An open-minded attitude, desire to learn new things and build great product...

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