Skills this job asks for
ComplianceData engineeringProject managementPythonSparkScalaTriage
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordUSCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-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.
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.
About the role
ABOUT PROPRIETARY RESEARCH
On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions posed by our investment professionals. We look for other bright, motivated, and collaborative people to join our team and grow with us—more than 90% of the leaders in our group were promoted from within.
ROLE SUMMARY
Data Engineers on the Proprietary Research team design and build solutions that enable investment professionals to effortlessly, extract insights from large, complex compliance approved structured and unstructured data sets. As a member of our Data Engineering team, you will work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that that help extract the most value out of Point72’s data assets. In this role, you will:
• Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
• Build out cloud-based infrastructure using distributed techniques for other data engineers / data scientists / researchers
• Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof of concepts evaluations of new technologies
• Build and support visualization and exploration capabilities around our big data sets
WHAT EXCITES YOU
• Transforming large unstructured, data sets into valuable investment research inputs
• Learning and working with industry-leading cloud-computing technologies
• Speaking with experts both inside and outside the Firm to understand data needs and offerings
• Fast-paced work environments that at times require switching gears to address the needs of the business
• Working as part of a cross-functional team made up of investment, research, and compliance professionals
WHAT EXCITES US
• Excellent attention to detail, organization, and project management skills
• Superb business intuition and a solution orientated, methodological approach to problem solving
• Ability to collaborate and build relationships across multiple business units within the Firm
• People who “elevate the room” through their work ethic, curiosity, and solution-orientated attitude
• Adherence to the highest ethical standards working closely with the Firm’s Compliance team
WHAT’S REQUIRED
• Experience or demonstrated interest in big data technologies
• 3+ years of experience in Data Engineering or related field
• Strong experience in Python Development
• Experience with Spark or Scala
• Ability to devise novel and innovative solutions to challenges
• Knowledge of/experience with graph databases is a plus
WHAT SUCCESS LOOKS LIKE
• Integrity – You demonstrate 100% commitment to the highest ethical standards
• Ownership – You take charge of your work, uphold your commitments, and always do your best
• Commerciality – You focus on what matters, ask necessary questions, and are diligent about not wasting time
• Humility – You welcome and are receptive to feedback and learn from past mistakes
• Adaptability – You can triage business needs and context switch quickly and efficiently
• Admirability – You elevate the room through your work ethic, domain knowledge, and work product
WE TAKE CARE OF OUR PEOPLE
We invest in our people, their
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