Job Search: Millions of US Jobs (HIRING NOW) Near You - ZipRecruiter. Backed by IVP.
About the role
As a Senior BI Engineer on our Business Intelligence team, you'll sit at the intersection of data, business, and engineering — designing the data systems, models, and AI-powered tooling that scale how ZipRecruiter operates and makes decisions. You'll partner with RevOps, Decision Science, Product, and Engineering teams, working with technologies like Spark, Databricks, and Kubernetes to process billions of records daily.
What they're looking for
- 5+ years as a Data Engineer, analytics/BI Engineer or in a similar role at a senior IC level
- Advanced SQL and deep proficiency in data modeling, schema design, and query optimization
- Strong grasp of data warehouse architecture and modern modeling methodologies
- Hands-on experience applying software engineering practices to data work: Git, CI/CD, code review, automated testing, monitoring
- Proficiency with cloud-based data platforms (Redshift, Snowflake, Databricks, BigQuery, or similar)
- Strong communicator who is comfortable working across both business stakeholders and engineering teams
More about this role
We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)
To actively connect people to their next great opportunity.
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
As a Senior BI Engineer on our Business Intelligence team, you'll sit at the intersection of data, business, and engineering — designing the data systems, models, and AI-powered tooling that scale how ZipRecruiter operates and makes decisions. You'll partner with RevOps, Decision Science, Product, and Engineering teams, working with technologies like Spark, Databricks, and Kubernetes to process billions of records daily.
- Architect across business and engineering: Lead the design and implementation of data systems that serve both our operational business stakeholders (RevOps, Decision Science) and our...
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