Jobs / United States / Pitchbook Data INC
Sr. Research Intelligence Engineer
Pitchbook Data INC · 🇺🇸 New York, New York, United States
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 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 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 Pitchbook Data INC paid sponsored hires in similar roles1 certified filing for “Senior Site Reliability Engineer” (Software Quality Assurance Analysts and Testers) in WA: $206k–$206k, median $206k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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 — Pitchbook Data INC
The US Department of Labor certified 10 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 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 Pitchbook Data INC →
About the role
At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence. If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you. About the Role: As a member of the Editorial team, you will spend each day immersed in the private markets, aiming to help our customers be better investors, advisors, and market participants. The work you will do plays a direct role in the evolution of the industry! Everyone on our team is supported by a flexible work environment and a culture that promotes curiosity, collaboration, and professional development. We prioritize recognition and respect across all roles and have a high level of camaraderie. The fast-growing nature of our organization provides ample opportunity to advance in your career and explore what interests you. As we continue investing in the talent of our group, our coverage has evolved rapidly over multiple industries and geographies. Our insights are routinely cited by top-tier publications and sought after by prominent players in the financial markets. In addition to publishing timely market insights, we also partner closely with our Product, Engineering, and Data Operations teams to continually enhance our datasets and develop unique tools that have a material impact on our customers’ workflows. There is no better time to join us! As a Senior Research Intelligence Engineer for the Institutional Research Group, you will play a key role contributing to the management our data products and processes to facilitate the delivery of best-in-class reports, data analytics, newsletters, indexes, and more. Your understanding of research processes, industry knowledge, and technical capabilities will be crucial in supporting the department’s goals of delivering timely and insightful information to our audience. This role requires an individual that understands the intricacies of data delivery, how to interpret and communicate complex concepts, and design and implement a data program strategy that is efficient and effective. Primary Job Responsibilities: • Serve as the key point of contact between the Institutional Research Group, Product, and Dev teams to incorporate PIRG-generated methodology into Platform products and ensure it is correctly implemented and maintained across internal processes, Git repositories, and production deployments including rolling out methodology updates as needed • Research, build, and maintain data pipelines for new and existing sources used by PIRG, including non-native data sources. Own the repository of SQL queries/views, query optimization, and ongoing pipeline maintenance • Act as a key stakeholder alongside the Data Operations team to advise on and implement methodology adjustments, updates, and data cleanups • Work with analyst groups to develop and deploy applications for prototyping, internal use, and production use cases • Identify and implement initiatives to streamline data analyses and research processes and improve the delivery of data to analysts • Maintain clear and timely communication with all affected stakeholders regarding methodologies