Jobs / United States / Abacus Insights INC
Forward Deployed Data Engineer
Abacus Insights 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 10 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 3 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 Abacus Insights INC paid sponsored hires in similar roles2 certified filings for “Senior Data Engineer” (Data Scientists) in NJ: $132k–$140k, median $136k. 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 — Abacus Insights 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 Jun 2026) — the step every H-1B hire needs first. USCIS also records 3 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 Abacus Insights INC →
About the role
About Us Abacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. As the AI and Data Platform for Payer Intelligence, we help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it's why we are leading the way. Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision. Ready to make an impact? Join us and let's build the future together. About the Role Abacus Insights is expanding what we do for health plans, and we’re looking for a Forward Deployed Data Engineer to help us do it. As we launch new and expanded service offerings, we’re putting multidisciplinary teams directly alongside our clients—pairing healthcare subject matter experts, AI and product engineers, and forward-deployed data engineers, each bringing a distinct and essential skill set—to solve their hardest data challenges and deliver value faster than ever. This is a chance to be part of that build from the start. In this role, you will be the hands-on data engineering expert on client-facing work. You will go on-site with clients, dig into their environments and source systems, and design and build the data models, pipelines, and integrations that turn fragmented payer data into a governed, analytics-ready foundation—frequently on Snowflake, where many of our clients are building. You will often step into ambiguous situations—unfamiliar systems, incomplete documentation, competing priorities—and bring the structure, technical judgment, and healthcare fluency to move forward. You will work hand in hand with our core delivery teams, preserve Abacus data-modeling practices, and capture the patterns and lessons that help us scale these new offerings and reuse what we learn across engagements. This role sits at the intersection of senior data engineering, client consulting, and payer data expertise. Note: This role requires travel to and from client sites, estimated at around 25%. Your day to day • Design and implement data models, ETL/ELT pipelines, and integrations that bring client payer data into governed, analytics-ready foundations, with a particular focus on Snowflake • Translate business requirements into scalable technical designs, from ingestion and standardization through analytics-ready data products • Serve as a trusted technical advisor to client data, IT, and business stakeholders, including senior leaders, and work on-site with clients as engagements require • Lead discovery sessions and workshops, gather requirements, and bring structure to open-ended problems • Communicate technical tradeoffs, risks, and recommendations clearly to both technical and non-technical audiences • Work with core payer datasets—claims, eligibility, member, provider, encounter, and care management data—and advise clients on data quality, mapping, and integration approaches across commercial, government, and