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, 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
- 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 $125,000-$165,000. 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.
Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice
Skills Required
- 5+ years as a Data Engineer, analytics/BI Engineer, or similar senior individual contributor
- Advanced SQL proficiency
- Deep proficiency in data modeling, schema design, and query optimization
- Strong understanding of data warehouse architecture and modern modeling methodologies
- Experience applying Git, CI/CD, code review, automated testing, and monitoring to data work
- Proficiency with cloud-based data platforms such as Redshift, Snowflake, Databricks, or BigQuery
- Strong communication skills working with business stakeholders and engineering teams
- 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 experience with shared libraries, services, or pipelines
- Platform engineering mindset focused on building productivity tools and abstractions
ZipRecruiter Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZipRecruiter and has not been reviewed or approved by ZipRecruiter.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is described alongside life, disability, and pet insurance options. Mental-health resources, wellness programs, and wellness days further reinforce a broad health-and-wellbeing offering.
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Retirement Support — A 401(k) with company matching is described as part of the core package. Equity-related programs such as an Employee Stock Purchase Plan and role-dependent RSUs complement retirement-oriented benefits.
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Leave & Time Off Breadth — Flexible time off is presented as a major component of the overall rewards package. Paid holidays, sick time, and volunteer time are also included, expanding time-off options beyond standard PTO.
ZipRecruiter Insights
What We Do
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 partnerships with the best job boards on the web. We're growing rapidly in pursuit of this mission, and we're always looking for talented people to join our team. Visit ziprecruiter.com/careers to view our open roles.
Why Work With Us
We are committed to nurturing an environment where every person feels welcomed, valued, heard, and respected. We embrace and encourage our employees’ differences, and we consistently review our overall equality—including recruitment and selection, compensation and benefits, promotions, and more—to stay relevant in this space.
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