Sr. Business Intelligence Engineer

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 Senior BI Engineer on our Business Intelligence team youll 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. Youll 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 youll enjoy:

• Competitive salary
• Exceptional benefits package
• Flexible Vacation & Paid Time Off
• Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $125000-$165000. Our salary ranges are determined by role level and location and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.

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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Senior IC