Data Modeler

Job Description Abacus Insights is a mission-driven, growth-stage technology company focused on transforming the healthcare industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats. Our platform allows our customers to uncover differentiated insights that address their client's needs. In addition, our employees know they play an active role in keeping our customers data safe and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to historically siloed and inaccessible data. Through our platform, these healthcare organizations can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs. Since our founding in 2017, Abacus has built a highly successful SaaS business, raising $100 Million from leading VC firms with deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in a sector ready for disruption. We're growing quickly and would love for you to be a part of it About The Role - This position is based in Pune India.**Come join our team Help us tackle the data usability challenge for payers. Your expertise and experience will help drive meaningful performance outcomes. You'll also have the chance to advance your career, acquire new skills, and collaborate with some of the most innovative minds in payer data management. 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. Equal Opportunity Employer As a mission-led technology company that is 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 proudly dedicate extensive time and resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment of any type 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.