Capital Rx is seeking a Data Engineer to build robust, scalable, and accurate data systems to support operational and analytics teams in making informed decisions and driving positive outcomes within the healthcare data management landscape.
Requirements
- 2+ experience working with Airflow, dbt, and Snowflake
- Expertise in data warehousing architecture techniques and familiarity with Kimball methodology
- Minimum 3+ years experience with a proven track record as a Data Engineer, displaying the ability to design, implement, and maintain complex data pipelines
- 1+ year experience in Python, SQL
- Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
- Advanced proficiency with Airflow, dbt, and Snowflake, coupled with 3+ years of SQL development and Python experience
Responsibilities
- 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
- Lead relationship with operational and analytics teams to translate business needs into effective data solutions
- Identify, recommend, and implement process improvement initiatives.
- Lead moderately complex projects.
Other
- Lead relationship with operational and analytics teams to translate business needs into effective data solutions
- 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
- Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.
- Provide ongoing maintenance and support for critical data infrastructure, including 24x7 on-call availability
