Sr. Business Intelligence Engineer

About ZipRecruiter

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.

Our Mission:
To actively connect people to their next great opportunity.

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.

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.

Benefits

• Competitive salary
• Exceptional benefits package
• Flexible vacation and paid time off
• Employer matched 401(k) plan

Work Environment

• Hybrid work environment.
• Most US-based positions can also be performed remotely.

Compensation

The US base salary range for this full-time position is $140,000 - $165,000. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

Equal Opportunity Employer

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

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