Lead Analytics Engineer: Healthcare Claims, SQL & dbt 100% Remote

Lead Analytics Engineer: Healthcare Claims, SQL & dbt Location: Remote Duration: 12+ Months Client: 10 Pearls / Cohere Health Job Summary We are seeking a Senior Analytics Engineer with deep expertise in Healthcare Claims and Membership data to architect and optimize the transformation layers for a modern data platform. This role sits at the intersection of Data Engineering and Business Intelligence, where you will be responsible for taking raw healthcare data and modeling it into production-grade, modular datasets using dbt and SQL. You will act as a consultant to non-technical stakeholders including Actuaries and C-Suite teams to translate complex business requirements into scalable dimensional models within a Cloud Data Warehouse (Snowflake, BigQuery, or Redshift). Key Responsibilities & Required Skills Healthcare Data Transformation & Modeling Claims & Membership Expert: Transform raw payer data, claims, and membership records into usable formats for end-user analytics. Dimensional Modeling: Architect modular dbt models, dimensional structures, and semantic layers to standardize metrics across the organization. Stakeholder Collaboration: Partner with Actuaries and Business Analysts to gather requirements and design data solutions that drive business value. Production-Grade Analytics Engineering dbt Mastery: Build, test, and optimize dbt models (Core or Cloud) using engineering best practices like CI/CD and Git. Advanced SQL: Develop high-quality SQL transformations and reusable datasets focused on performance optimization. Data Quality: Implement rigorous testing frameworks, validation logic, and lineage visibility to ensure "trusted data" for the ecosystem. Cloud Infrastructure & Orchestration Cloud Data Warehouse: Hands-on experience with Snowflake, BigQuery, or Redshift for large-scale healthcare data processing. Orchestration: Familiarity with tools like Airflow, Dagster, or Prefect to schedule and operationalize transformation pipelines. Modern Stack: Utilize AWS environments and modern software development workflows to manage data discoverability and reliability. Mandatory Technical Skills 1. Healthcare Data Experience: Deep knowledge of Payer/Claims/Membership data. 2. Expert SQL & dbt: Proven experience building modular, production-grade pipelines. 3. Data Modeling: Expertise in dimensional modeling and semantic layer design. 4. Cloud Warehouse: Proficiency in Snowflake, BigQuery, or Redshift. Thanks, Aditya Jain | New York Technology Partners Email: Direct: EXT: 482 Apply tot his job