Jobs / United States / Ziprecruiter INC
Business Intelligence Engineer II
Ziprecruiter INC · 🇺🇸 Santa Monica, CA/Remote · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Ziprecruiter INC paid sponsored hires in similar roles5 certified filings for “Sr. Software Engineer” (Software Developers) in CA: $153k–$170k, median $153k. Most were filed at wage level II (80%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. The pay stated here ($110,000-$130,000) is below what this employer usually pays sponsored hires for this role. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Ziprecruiter INC
The US Department of Labor certified 13 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Ziprecruiter INC →
About the role
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-rela