Senior Data Engineer

Judi Health

$116K — $145K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in data engineering, software engineering, or a related field
  • Strong SQL and Python programming skills
  • Hands-on experience with dbt for data modeling
  • Knowledge of ETL/ELT processes and dimensional modeling
  • Familiarity with cloud data warehousing, particularly Snowflake
  • Experience with data observability and testing practices
  • Understanding of security and privacy regulations (HIPAA awareness)

Responsibilities

  • Build, test, and document Snowflake data models using dbt
  • Enhance data quality and observability standards
  • Collaborate with teams to define data contracts and interfaces
  • Contribute to both modular and client-specific data configurations
  • Participate in design reviews and suggest scalable solutions
  • Monitor and troubleshoot data pipeline health
  • Optimize performance of data jobs and queries

Benefits

  • Hybrid work model with a focus on work-life balance
  • Opportunity to work in the fast-paced pharmacy and healthcare sector
  • Collaborative environment with cross-functional teams
  • Focus on professional development and continuous learning
  • Participation in maintaining a culture of compliance and ethical standards
Full Job Description


Position Summary:

Hybrid 3 days (office locations are New York City, Denver, and Charlotte)

Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (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:
• 5+ 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

$139,600-$174,500 USD

Denver, CO Salary Range

$128,000-$160,000 USD

Charlotte, NC Salary Range

$116,400-$145,500 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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