Judi Health
Healthcare
DataEngineer(AnalyticsEngineering)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer (Analytics Engineering) at Judi Health. Skills: dbt, Snowflake, SQL, data modeling, metrics definition, analytics-ready datasets. build and scale analytics foundation. develop high-quality, analytics-ready datasets”
What You'll Achieve.
drive measurable outcomes; accelerate delivery; improve reliability; ensure reliable downstream reporting and decision-making; support self-service analytics; deploy changes safely and repeatably; ensuring system reliability and data integrity
Industry & Context.
tackle and solve intricate technical challenges
participate in an on-call rotation as needed
What They're Looking For.
Must Have
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent practical experience), 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 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 (e. g. , Redshift and/or Postgres), Familiarity with semantic/metrics layer patterns and practices (e. g. , consistent metric definitions, metric governance, semantic modeling approaches) 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 (e. g. , automation, validation checks), and comfort collaborating with orchestration/workflow tools when needed
What You'll Do.
build and scale analytics foundation
analytics-ready datasets
create a consistent metrics/semantic layer
and operational insights
design durable data models
define trusted business metrics
ensure data quality through testing
translate business questions into reusable data products
build and maintain dbt projects (staging → intermediate → marts)
design and evolve dimensional models and analytics patterns
own metrics definitions end-to-end
implement robust data quality practices
produce clear documentation and enablement assets
optimize warehouse performance and cost in Snowflake
use disciplined software engineering practices
proactively identify and resolve data-related issues
provide ongoing support for critical analytics data products
participate in an on-call rotation
How You'll Work.
Team & Collaboration
partner closely with operational and analytics stakeholders; partner closely with operational and analytics teams; collaborate effectively with both technical and non-technical stakeholders; comfort collaborating with orchestration/workflow tools
Communication Scope
technical communication; non-technical communication
Full Job Description
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-
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