Jobs / United States / Ziprecruiter INC
Engineering Manager, Big Data
Ziprecruiter INC · 🇺🇸 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 “Decision Scientist II” (Data Scientists) in CA: $155k–$155k, median $155k. Most were filed at wage level II (80%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. 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 : Our team has a unique opportunity to work on applications and data at scale, serving millions of jobseekers and tens of thousands of customers. At ZipRecruiter, our products help connect job seekers with employers, eager to add talent to their company. We’re building an innovative marketplace for both jobs and job seekers alike. As part of this effort, we’re hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we’re working on data driven systems and applications and we’re looking for engineering managers who can own entire (or even multiple) product lines, drive business value while investing in their team’s/tech stack’s health, and coach engineers to build a strong culture of excellence, ownership, and personal and professional growth. About the Job: • Own the mission, execution, morale, and code quality of your team • Partner effectively with product managers to maintain and execute against the product roadmap • Serve as a force multiplier for your team by removing roadblocks, identifying and implementing process improvements, and delegating effectively • Actively build community and culture throughout the engineering organization • Continually develop, coach, motivate, and improve your team, leading by example • Champion and evolve innovation at ZipRecruiter and evangelize BIG ideas Minimum Qualifications: • 6+ years of experience in a fast-paced software development/data engineering environment, building ETL pipelines at scale • 2+ years of experience as a Data Engineering leader • Experience designing, building, and supporting production-grade data pipelines Preferred Qualifications: • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field • 3+ years of experience owning data pipelines for machine learning models and AI powered features, including personalization, recommendations, search, ranking, matching • Expertise using data to power products, not just to analyze it • Demonstrated experience innovating novel approaches and solutions to ambiguous problems As part of our team you’ll enjoy: • Competitive compensation • 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 $190,000-$240,000. 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, a