The posting
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) and CI/CD pipelines for deployment
- Dev-ops,SRE and cloud Ops is a huge plus
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.
AI Use in Recruitment
We use AI-powered tools throughout our recruitment process. This includes Greenhouse's Real Talent Matching Technology, which helps prioritize applications based on job-related criteria, as well as additional AI tools used to support sourcing, interview preparation, and other recruiting tasks. We do not remove the human element—our recruiters and hiring teams review all applications and make all decisions related to candidate progression and hiring, regardless of which tools are used to support that process.
Identity and Location Verification
To protect the integrity of our hiring process, all interviews are conducted by live video with your camera on. Virtual or blurred backgrounds and headsets are not permitted absent an approved accommodation, and you should be in a well-lit, private space where your face and surroundings are clearly visible. Candidates who advance may also be asked to complete identity and location verification, which may include verifying your identity, work history, and confirming that you are located where your application states. Applications containing knowingly false or materially misrepresented information, including identity, location, or credentials, may be disqualified, and any offer may be rescinded if a material misrepresentation is discovered at any point in the process.
If you need an accommodation for any part of the interview process, please let your recruiter know in advance.
By applying, you acknowledge that we will collect and process your personal information for recruiting purposes in accordance with applicable data protection laws, including for the verification steps described above. Please review our Applicant Privacy Notice for more information, including your rights.
