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Senior Data Engineer

Windfall· Engineering
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Hybrid (San Francisco, CA or Denver, CO)$170k - $220kFull-timePosted 4mo ago

About the role

Senior Data Engineer responsible for building Windfall’s core data asset, designing and implementing data pipelines from ingestion to production, and collaborating with product, data science, and other engineering teams.

Responsibilities

  • Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset
  • Work closely with our data science team to run ML models on top of billions of data points
  • Build supporting data services and applications to orchestrate and monitor our data systems

Qualifications

  • 4-8 years of professional data engineering experience
  • Significant experience working with Apache Beam/Spark/Flink or MapReduce
  • Strong Object-oriented programming ability in a JVM language
  • Expert knowledge of distributed data processing
  • Familiarity with different datastores, their differences, and appropriate usages
  • Experience at a sub-200 person company
  • You communicate as well as you code
  • You can simplify complex problems into simple solutions
  • You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment
  • You are comfortable making trade-offs between quality, complexity, and speed-of-delivery

Skills

Required:Cloud platformProgramming languagesData warehousing / databasesDistributed processing frameworksOrchestration

Benefits

  • Comprehensive benefits package (details available on careers site)
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Windfall

Activate the Most Accurate People Data Powered by AI

Windfall is a people intelligence and AI company that gives go-to-market teams actionable data to find, engage, and convert their next best customers.

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