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EXA

Analytics Engineer

San Francisco, California$160k–$250kfulltimemidAdded today

About this role

Exa seeks an Analytics Engineer to build data products and pipelines that drive decision-making across the company. You'll work with massive-scale web search data, design reliable ETL systems, and create self-serve analytics tools while maintaining rigorous data integrity standards.

What you'll do

  • Design and maintain canonical datasets serving as single sources of truth for company metrics
  • Build end-to-end data pipelines processing petabytes of web search data
  • Develop self-serve analytics tools and internal BI solutions for product, finance, marketing, and GTM teams
  • Own A/B testing infrastructure and experimentation frameworks
  • Create quantitative models for forecasting and hypothesis testing
  • Optimize queries and data systems for performance and cost efficiency

What they're looking for

  • Python
  • SQL
  • Cloud data platforms (warehousing, orchestration)
  • ETL/ELT pipeline design and maintenance
  • Statistical methods and hypothesis testing
  • Time-series forecasting
  • Experimental design
  • Database optimization
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EXA

Exa builds AI-powered search infrastructure that powers major products and serves hundreds of thousands of developers through APIs, SDKs, and web crawling technology. The company is hiring full-stack engineers, research engineers, distributed systems architects, customer-facing deployment engineers, and growth engineers to expand its platform and customer base.

View all jobs at EXA

Likely interview questions

  • Describe your experience building and maintaining data pipelines at scale. What challenges did you encounter and how did you optimize for performance and cost?
  • Tell us about a time you had to establish a metric or dataset that the entire company relied on. How did you ensure accuracy and what feedback did you incorporate?