Data Engineer

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.

At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Position Summary:

Hybrid 3 days (office locations are New York City, Denver, and Charlotte)

Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products.

Position Responsibilities:

· Build, test, and document Snowflake data models and business logic in dbt

· Apply and improve data quality, testing, observability, and lineage standards

· Collaborate with cross-functional partners to define data contracts and interfaces

· Contribute to Capital Rx’s modular data platform and client-specific data configurations

· Participate in design reviews; propose scalable, maintainable patterns

· Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes

· Optimize cost and performance of jobs, storage, and queries with guidance

· Write clear documentation and support knowledge sharing

· Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

Preferred Qualifications:

· 5+ years in data engineering, software engineering, or related field

· Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling

· Hands-on dbt experience (models, tests, documentation, deployments)

· Experience with orchestration (Dagster or Airflow) and scheduling best practices

· Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred)