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Business Intelligence Engineer II

🏢 Ziprecruiter · 📍 Santa Monica, CA/Remote · 💼 hybrid 💰 $110,000 - $130,000 / yr
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Position Summary & Responsibilities

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.)

Our Mission: 

To actively connect people to their next great opportunity.

Who We Are: 

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.

Summary:

As a BI Engineer II 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.

*We are open to leveling for this role based on experience and interview performance

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.
  • Me
🎯 Candidate Preparation Guide For Ziprecruiter Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Assessing data-driven product optimization, marketplace dynamics, and massive-scale matching algorithm development.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Relying on intuition over empirical data when proposing product or engineering decisions.
  • 2. Slow iteration velocity or analysis paralysis on high-impact growth funnels.
  • 3. Inability to optimize for both sides of a complex consumer-enterprise marketplace.
✨ Recommended Role Alignment Hook:

I scale two-sided marketplaces through aggressive data experimentation and high-velocity algorithmic optimization.

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