Data Engineer Intern - Build Scalable Healthcare Pipelines

Judi Health

Denver (CO)

Hybrid

USD 28,000 - 30,000

Full time

7 days ago
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Job summary

Judi Health is seeking a Data Engineer Intern to help shape healthcare data management by building robust, scalable data systems. The role partners with operations and analytics teams to deliver accurate data solutions and support informed decision-making across the organization.

The position focuses on implementing ETL workflows with Python, dbt, Snowflake, and Redshift, testing pipelines, and ensuring data integrity. Denver/NYC hybrid work options are available.

Qualifications

  • Pursuing a Bachelor's degree in CS/IT or related field.
  • Strong Python/SQL skills and knowledge of JSON/XML.
  • Interest in building scalable data pipelines and data warehousing concepts.
  • Ability to collaborate with both technical and non-technical stakeholders.

Responsibilities

  • Partner with operational and analytics teams to translate business needs into data solutions.
  • Architect and implement ETL workflows using Judi Health platforms (Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, Redshift).
  • Test data pipelines to ensure reliable production deployment.
  • Identify and resolve data-related issues to ensure data integrity.
  • Maintain and support data infrastructure.
  • Adhere to Judi Health Code of Conduct and report noncompliance.

Skills

Python
SQL
JSON
XML
Data warehousing
Kimball methodology

Education

Bachelor's degree in Computer Science, Information Technology, or related field

Tools

dbt
SQLAlchemy
Terraform
Airflow
Snowflake
Redshift

Job description

Judi Health is seeking a Data Engineer Intern to help shape healthcare data management by building robust, scalable data systems. The role partners with operations and analytics teams to deliver accurate data solutions and support informed decision-making across the organization.

The position focuses on implementing ETL workflows with Python, dbt, Snowflake, and Redshift, testing pipelines, and ensuring data integrity. Denver/NYC hybrid work options are available.

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