Senior Data Engineer - Hybrid (Snowflake & dbt)

Judi Health; Denver, New York, Charlotte (CO, NY, NC); Hybrid; USD 128,000 - 160,000; Full time

Job summary

Judi Health, a health technology company, seeks a Senior Data Engineer (Analytics Engineer) to build and maintain Snowflake data models using dbt and ensure data quality for analytics and products.

You will partner with analysts, data scientists, and engineers to deliver well‑documented datasets and contribute to a modular data platform across health‑care datasets, with a hybrid work model involving NYC, Denver, and Charlotte offices.

Qualifications

• 5+ years in data engineering, software engineering, or related field.
• Strong SQL and Python; solid ETL/ELT and dimensional/data vault modeling.
• Experience with orchestration (Dagster or Airflow) and scheduling best practices.
• Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred).

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

Skills

SQL

Python

dbt

Snowflake

Dagster

Airflow

ETL/ELT

Data quality

Data observability

HIPAA awareness

Communication

Cloud data warehouse

Git

IaC

Tools

Snowflake

dbt

Dagster

Airflow

Databricks

CI/CD

Git

IaC

Job description

Judi Health, a health technology company, seeks a Senior Data Engineer (Analytics Engineer) to build and maintain Snowflake data models using dbt and ensure data quality for analytics and products.

You will partner with analysts, data scientists, and engineers to deliver well‑documented datasets and contribute to a modular data platform across health‑care datasets, with a hybrid work model involving NYC, Denver, and Charlotte offices.