Data Modeler
Job Overview
About Us
Abacus Insights is changing the way healthcare works for you. We’re on a mission to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. No more data silos, no more inefficiencies. Just smarter care, lower costs, and better experiences.
Backed by $100M from top VCs, we’re tackling big challenges in an industry that’s ready for change. And while GenAI is still new for many, we’ve already mastered turning complex healthcare data into clear, actionable insights. That’s our superpower—and it’s why we’re leading the way.
Abacus, innovation starts with people. We’re bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future, together.
About the Role:
We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices.
The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity.
This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms.
You should expect to:
Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include:
- Perform data profiling analysis.
- Use SQL, data modeling and data integrity principles.
- Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards.
- Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
- Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar).
- Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases.
- Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance.
- Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations.
- Work with client management teams to provide support and data model expertise during client implementation.
What we're looking for:
- 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering.
- Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar).
- NoSQL data model experience.
- Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures.
- Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains.
- Experience with schema evolution, lossless data modeling, and data versioning strategies.
- Strong background in SQL, data profiling, and metadata creation and maintenance.
- Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards.
- Excellent collaboration skills to work with data architects, engineers, and client implementation teams.
Bonus Points:
- Healthcare reporting experience.
- Experience with OBT, data lakehouse, and metadata management frameworks.
- Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses.
- Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access.
- Experience with data governance, security, and regulatory compliance in healthcare data management.
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.