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 Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing™ architecture, seamlessly consolidating pharmacy and medical benefit administration on a single,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 Location: Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area
Position Summary:
Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II. You will build and maintain reliable data models within Snowflake with dbt and Airflow, 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:
· 3+ 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)
· CI/CD for data (Git-based workflows, environments), and basic IaC familiarity
· Data observability and testing (dbt tests, lineage tools)
· Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness)
· Effective communication and collaboration with technical and non-technical stakeholders
· Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories)
· Performance tuning in Snowflake (warehouse sizing, clustering, caching)
Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.
All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.