EXA
Analytics Engineer
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 EXALikely 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?