Judi Health
Healthcare
DataEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II at Judi Health. Skills: Snowflake, dbt, SQL, ETL/ELT, data modeling. Build, test, and document Snowflake data models and business logic in dbt. Apply and improve data quality, testing, observability, and lineage standards”
Industry & Context.
troubleshoot incidents; drive root-cause fixes
What They're Looking For.
Must Have
3+ years in data engineering, software engineering, or related field, SQL and 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, Great Expectations/Soda, lineage tools), Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), Effective communication and collaboration with technical and non-technical stakeholders
Nice to Have
Exposure to healthcare data (claims, eligibility, provider directories), Performance tuning in Snowflake (warehouse sizing, clustering, caching)
What You'll Do.
and document Snowflake data models and business logic in dbt
Apply and improve data quality
and lineage standards
Contribute to Capital Rx’s modular data platform and client-specific data configurations
Monitor pipeline health
troubleshoot incidents
and drive root-cause fixes
Optimize cost and performance of jobs
and queries with guidance
Write clear documentation and support knowledge sharing
How You'll Work.
Team & Collaboration
Collaborate with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets; Collaborate with cross-functional partners to define data contracts and interfaces; Effective communication and collaboration with technical and non-technical stakeholders
Communication Scope
Effective communication and collaboration with technical and non-technical stakeholders; Write clear documentation and support knowledge sharing
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: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (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: · 3+ years in data engineering, software engineering, or related field · Strong SQ
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