Business Intelligence Engineer II
ZipRecruiter is hiring a Business Intelligence Engineer II in Santa Monica, United States. It pays $110k-$130k a year and Level rates it ; you can apply on ZipRecruiter.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include Databricks, Spark and Kubernetes.
- Level classifies it as a mid-level role.
- Level lists 43 other open roles at ZipRecruiter.
AI in this role
Design data systems, models, and AI-powered tooling to scale operations and data processing pipelines.
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.
- Mentor and uplevel: Coach teammates, raise the technical bar, and help establish standards that scale beyond any single project.
Minimum Qualifications:
- 3+ years as a Data Engineer, analytics/BI Engineer or in a similar role at an 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 $110,000-$130,000. 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
How we rate this
Business Intelligence Engineer II at ZipRecruiter rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where ci/cd was part of your work. What did you do?
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Modeling, Data Engineering, Business Intelligence, CI/CD, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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