Sr. Business Intelligence Engineer

Mission

To actively connect people to their next great opportunity.

Who We Are

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven intelligent matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary

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.

Key Focuses

• 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 product and engineering teams.
• Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip.
• Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team.
• Build and own data models: Translate complex, cross-domain business questions into robust, well-tested, reusable data sets and models.
• Partner with product engineering: Collaborate directly with engineering teams to embed analytical and data-modeling capabilities into product systems and pipelines.
• Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.

Minimum Qualifications

• 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.

Preferred Qualifications

• Experience building or extending internal AI/LLM-powered tooling for analytics or developer workflows.
• Expertise with Spark (PySpark or Scala) and big data environments such as Delta Lake or Data Lake.
• Production-level proficiency with dbt and the modern data stack.
• Production-grade Python — beyond scripting, into shared libraries, services, or pipelines.
• A platform engineering mindset — building tools and abstractions that make others more productive.

As part of our team you’ll enjoy

• Competitive salary