Data Engineer II

Judi Health

$92K — $113K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in data engineering, software engineering, or related field
  • Strong SQL and Python skills
  • Hands-on experience with dbt for data modeling and documentation
  • Familiarity with orchestration tools like Dagster or Airflow
  • Knowledge of cloud data warehouses, particularly Snowflake
  • Understanding of security and privacy compliance related to PII/PHI
  • Effective communication skills with both technical and non-technical stakeholders

Responsibilities

  • Build and document data models and business logic using Snowflake and dbt
  • Improve data quality and apply lineage standards
  • Collaborate with cross-functional teams to define data contracts
  • Contribute to modular data platform configurations
  • Engage in design reviews and propose scalable solutions
  • Monitor and troubleshoot data pipeline health
  • Optimize job performance and storage costs

Benefits

  • Flexible hybrid work model (3 days in the office)
  • Collaborative environment with cross-functional teams
  • Opportunities for knowledge sharing and professional development
  • Engagement with healthcare data to make a social impact
  • Involvement in innovative projects shaping pharmacy benefits and healthcare navigation
Full Job Description


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 (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 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.

New York, NY Salary Range

$108,800-$136,000 USD

Denver, CO Salary Range

$100,000-$125,000 USD

Charlotte, NC Salary Range

$92,000-$113,500 USD

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.

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