Judi Health is seeking a Data Engineer I to join our team. In this role, you will be instrumental in building and scaling Capital Rx’s analytics foundation, developing high-quality, analytics-ready datasets and a consistent metrics layer that power reporting, self-service BI, and operational insights.

What You'll Do

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.

What We're Looking For

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).
Ability to collaborate effectively with both technical and non-technical stakeholders; strong communication and documentation skills.
A self-motivated, detail-oriented individual with the ability to tackle and solve intricate technical challenges and deliver high-quality work.

Nice to Have

Experience in healthcare, PBM, insurance, or other regulated data environments.
Deep familiarity with Snowflake and experience supporting multiple warehouses or databases as environments evolve.
Familiarity with semantic/metrics layer patterns and practices and enabling KPI consumption across BI tools.
Experience with CI/CD for analytics (automated tests, PR checks, environment promotion) and data observability/monitoring practices.
Working knowledge of Python for data tooling or analytics enablement, and comfort collaborating with orchestration/workflow tools when needed.

Technical Stack

dbt
Snowflake
SQL
Git
Python

Team & Environment

You will partner closely with operational, product, and analytics stakeholders.

Benefits & Compensation

Compensation Range: $100,000 - $120,000 USD.

Work Mode

This is a remote position.

Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to 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.