Data Engineer II

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

We are seeking a highly motivated and talented Data Engineer to join our team and play a critical role in shaping the future of healthcare data management. This individual will be a key contributor in building robust, scalable, and accurate data systems that empower operational and analytics teams to make informed decisions and drive positive outcomes.

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