Data Engineer I

About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: Capital Rx , a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, Judi Health™ , which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Judi® , the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health . Position Summary: We are seeking a highly motivated and talented Data Engineer I (Analytics Engineering) to help build and scale Capital Rx’s analytics foundation. This role focuses on developing high-quality, analytics-ready datasets and a consistent metrics/semantic layer that power reporting, self-service BI, and operational insights. You will work heavily in dbt and Snowflake to design durable data models, define trusted business metrics, and ensure data quality through testing, documentation, and observability—partnering closely with operational, product, and analytics stakeholders to translate business questions into reusable data products that drive measurable outcomes. Position Responsibilities: · Partner closely with operational and analytics teams to translate business needs into analytics-ready data models, curated data marts, and reusable datasets. · Build and maintain dbt projects (staging → intermediate → marts), including model layering, macros, exposures, packages, and source freshness to accelerate delivery and improve reliability. · Design and evolve dimensional models (facts/dimensions, grain, SCD patterns) and analytics patterns aligned with key business domains. · Own metrics definitions end-to-end: establish KPI logic, naming standards, calculation rules, and governance; maintain a metrics/semantic layer so stakeholders use consistent definitions across tools and teams. · Implement robust data quality practices (dbt tests, constraints, anomaly checks/monitoring) to ensure reliable downstream reporting and decision-making. · Produce clear documentation and enablement assets (dbt docs, lineage, data dictionaries, metric definitions, onboarding guides) to support self-service analytics. · Optimize warehouse performance and cost in Snowflake through SQL tuning, incremental models, appropriate materializations, and efficient data design. · Use disciplined software engineering practices (Git-based workflows, peer review, CI checks, versioning, environment promotion) to deploy changes safely and repeatably. · Proactively identify and resolve data-related issues, ensuring system reliability and data integrity. · Provide ongoing support for critical analytics data products and participate in an on-call rotation as needed. · Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. Required Qualifications: · Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience). · Strong SQL skills and experience building analytics datasets in a modern cloud data warehouse (Snowflake preferred). · Hands-on experience with dbt core (model development, tests, documentation, macros, deployments). · Solid foundation in data modeling (dimensional/Kimball concepts, facts/dimensions, grain, slowly changing dimensions). · Experience defining and managing metrics: translating business logic into consistent KPI definitions, documenting edge cases, and maintaining metric governance over time. · 1+ years of experience delivering production-grade analytics models/marts or BI-ready datasets (internships/co-ops may be considered depending on leveling). · Abili ... (truncated, view full listing at source)