Data Engineer II

Judi Health is a health technology company providing benefit administration solutions. As a Data Engineer II, you will build and maintain reliable data models within Snowflake, improving data quality and observability while collaborating with analysts and engineers.

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

• 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)
• Data engineering experience
• Software engineering experience
• SQL
• Python
• ETL/ELT understanding
• Dimensional modeling
• Data vault modeling
• Hands-on dbt experience
• Orchestration experience
• Dagster experience
• Airflow experience
• Scheduling best practices
• Spark
• Databricks
• Cloud data warehouses experience
• Snowflake experience
• CI/CD for data
• Git-based workflows
• Basic IaC familiarity
• Testing experience
• dbt tests
• Lineage tools
• Security understanding
• Privacy understanding
• HIPAA awareness
• Performance tuning in Snowflake
• Warehouse sizing
• Clustering
• Caching
• Healthcare data exposure
• Claims data
• Eligibility data
• Provider directories
• Effective communication
• Collaboration skills

Company

• Health benefit administration platform for employers, unions, and plans
• New York, New York, USA
• https://www.judi.health/
• Founded in 2017
• 501-1000 employees

Qualifications

• 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
• 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)

Required skills

• SQL, Python, ETL/ELT, Dimensional modeling, Data vault modeling, dbt, Dagster, Airflow, Spark, Databricks, Snowflake, CI/CD for data, Infrastructure as Code (IaC), Data observability, Data lineage tools, HIPAA awareness, Healthcare data claims, Healthcare data eligibility, Healthcare data provider directories, Performance tuning in Snowflake

Preferred skills

• Data observability and testing (dbt tests, lineage tools), New York, New York, USA, https://www.judi.health, Late Stage, Total Funding, $736M, Key Investors, General Catalyst,Wellington Management, Prime Therapeutics, B Capital, 2025-09-23, Series F· $252M, Secondary Market· $148M, 2024-03-28, Series E· $115M, Leadership Team, Anthony Loiacono, CEO & Co-Founder, John Nicolosi, Chief Administrative Officer, Recent News, EIN Presswire, 2026-09-09, MedCity News, 2026-09-04, Amazon Pharmacy Executive: Formularies are Anti-Choice, 2026-08-11, Company data provided by, AI Tools, Customize Your Resume

Experience

• 3+ years