Data Engineer II

Judi Health is an enterprise health technology company focused on providing innovative healthcare solutions. They are seeking a motivated Data Engineer to build scalable data systems that support operational and analytics teams in making informed decisions.

Responsibilities:

• Partner closely with operational and analytics teams to translate business needs into effective data solutions
• Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift
• Conduct rigorous testing to ensure the flawless execution of data pipelines before production deployment
• Proactively identify and resolve data-related issues, ensuring system reliability and data integrity
• Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Demonstrated proficiency in Python (or Java), SQL, JSON, and XML
• Expertise in data warehousing architecture techniques and familiarity with Kimball methodology
• Minimum 1+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines
• Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
• Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
• A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges
• 1+ years of experience as a Data Engineer, ideally in the healthcare or PBM sector
• Proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience