Jobs / United States / Social Finance INC
Senior Engineering Manager-People Analytics
Social Finance INC · 🇺🇸 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 186 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 49 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 Social Finance INC paid sponsored hires in similar roles6 certified filings for “Senior Manager, Software Engineering” (Computer and Information Systems Managers) in CA: $242k–$270k, median $250k. Most were filed at wage level II (50%) — 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 — Social Finance INC
The US Department of Labor certified 186 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 49 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 Social Finance INC →
About the role
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. Role Summary: This role will lead the data engineering function supporting People Analytics, including AI-assisted workforce analytics on Snowflake. This is a player-coach role requiring hands-on technical leadership plus people leadership, with strong business partnership and the ability to balance speed, quality, governance, and innovation. What you’ll do: Manage and develop data engineers • Manage, coach, and grow a team of data engineers. • Set expectations for quality, collaboration, delivery, and technical ownership. • Create a strong engineering culture where people solve hard problems, move quickly, and enjoy the work. • Collaborate with cross-functional teams, such as other data engineers, people analysts, data scientists, and business stakeholders, to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners. Stay hands on • Write and review production code. • Lead design reviews, code reviews, and technical problem solving. • Step into critical pipelines, models, or AI workflows when needed. Build scalable People data foundations • Design and maintain sustainable data models, pipelines, semantic layers, and testing frameworks. • Establish team practices for documentation, lineage, data quality, and observability. Own engineering standards • Set standards for SQL, Python, dbt, Airflow, Snowflake, testing, documentation, CI/CD, and release management. • Ensure the team ships work that is reliable, maintainable, secure, and understandable. • Enforce data governance policies and practices to maintain data integrity, security, and compliance with relevant regulations. Support AI enabled analytics • Own technical delivery for AI-assisted workforce analytics and internal tools. • Translate business needs into scalable technical designs, delivery plans, and engineering milestones. • Partner with People Analytics, People leaders, Legal, Compliance, and other stakeholders to deliver trusted workforce insights. • Partner on semantic models, evaluation datasets, testing, and quality controls for AI-assisted analytics Balance speed and rigor • Create enough process to protect quality, privacy, and trust for sensitive People data without slowing the team unnecessarily. What you’ll need: • A bachelor's degree in Computer Science, Data Science, Engineering, or a related field. • 7+ years in data engineering, analytics engineering, or data platform engineering. • 5+ years managing or formally leading engineers. • Proficiency in data engineering tech stack: Python / SQL / dbt / Airflow / Gitlab . • Experience designing dimensional models, semantic layers, data marts, or analytical data products. • Experience with data quality, testing, lineage, observability, and production support. • Strong ability to translate business needs into technical architecture. • Experience with sensitive or regulated data and access controls. • Proven ability to coach engineers and build healthy technical culture • Strong communication with technical and non technical stakeholders • Proficiency i