Jobs / United States / Abacus Insights INC
Contractor: Healthcare Integration 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 This is a contract role. We are seeking a Healthcare Integration Engineer to design, build, and maintain our next-generation clinical data platform. In this role, you will be responsible for architecting scalable healthtech solutions, building FHIR-compliant APIs, and managing high-throughput clinical datasets. You will leverage Firefly server tooling and SDKs alongside MongoDB to transform, store, and serve interoperable patient data across enterprise electronic health record (EHR) systems. Your day to day • API & Integration Development: Design, implement, and maintain secure, scalable RESTful APIs adhering strictly to FHIR standards (US Core, R4/STU3). • FHIR Server Management: Deploy, configure, and optimize Firefly Server (formerly Vonk) and related Firely SDK tools to handle high-concurrency clinical data requests. • Database Architecture: Schema design, optimization, and administration of MongoDB collections engineered to store complex, nested FHIR JSON documents. • Data Pipeline & Transformation: Build ETL/ELT pipelines to ingest, map, and transform legacy clinical data formats (HL7 v2, C-CDA, X12) into standardized FHIR resources. • Compliance & Security: Ensure all data persistence, transmission, and integration mechanisms strictly comply with HIPAA, GDPR, and SOC 2 security guidelines. • Testing & Validation: Perform end-to-end integration testing, FHIR profile validation (using Firely Forge), and performance tuning for low-latency queries. What you bring to the team • 3+ years in healthcare software engineering, healthtech integration, or clinical informatics. • Deep working knowledge of HL7 FHIR resources, profiles, extensions, and RESTful interactions. • Hands-on experience with Firely Server, Firely .NET/C# SDKs, Performance tunning, architect and design • 3+ years of experience with MongoDB (query optimization, indexing, aggregation frameworks, document modeling). • Proficiency in C# / .NET Core or Node.js/TypeScript for building backend services and custom plugins. • Familiarity with EHR integration (Epic, Cerner/Oracle Health, Athenahealth) and healthcare data specs (SMART on FHIR, OAuth2/OIDC). • Bachelor's Degree in Computer Engineering or other relevant field. What we'd like to see, but not required • HL7 FHIR Certification (HL7 International). • Experience with cloud platforms (AWS DocumentDB / Azure Cosmos DB for MongoDB API). • Knowledge of containerization (Docker, Kubernetes) a