Staff Software Engineer - Etl Platform

Fivetran Fivetran · Data AI · Oakland, CA · Engineering Department

Fivetran is seeking a Staff Software Engineer to join their ETL Platform team. This role focuses on building and maintaining the core platform for data pipelines, ensuring data flows smoothly and reliably for thousands of companies. Responsibilities include designing and implementing features for sync tracking, managing scalable infrastructure, and working with technologies like Ruby, Rails, Kotlin, Spark, and Temporal. The role also involves participating in an on-call rotation and collaborating with product teams to enhance data pipeline observability.

What you'd actually do

  1. Make valuable contributions to the deepest recesses of our tech stack – including writing typesafe Ruby and Rails with Sorbet, building performant Kotlin microservices, managing highly available Spark clusters, working on deterministic Temporal workflows, and Terraforming all the things in AWS.
  2. Think in Parquet, live in cloud storage, and have data flowing through your veins.
  3. Operate in hostile territory on all sides–building and managing a data diffing ETL engine that operates across every type of data warehouse and SQL dialect imaginable on data you don’t own or control, and send it to countless permutations of destinations that could respond any number of unpredictable ways.
  4. Be a reliable and steadfast operator, participating in the team on-call rotation to help diagnose, triage and fix performance bottlenecks and gnarly edge-cases our customers discover. You’ll leave the campsite cleaner than you found it.
  5. Work closely with our product team to help design and develop new features to improve data pipeline observability and debuggability, putting you on a first name basis with the data teams of many companies you have come to love and respect.

Skills

Required

  • Expertise in at least one interpreted language such as Python, Ruby on Rails, etc.
  • Expertise in at least one compiled language such as C++, Kotlin, Scala, Go, Java, etc.
  • Solid understanding of relational databases
  • Proven experience in system integration, including API consumption and development
  • Familiarity with leading cloud providers, such as GCP, AWS, or Azure
  • Experience being on-call

Nice to have

  • experience with data warehousing solutions (e.g., Snowflake)
  • experience with infrastructure management

What the JD emphasized

  • on-call rotation
  • highly available
  • performance bottlenecks
  • data pipeline observability