Data Engineer II

🕒 February 28

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Capital Rx

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

Capital Rx is the fastest growing healthtech company in America, dedicated to transforming the prescription pricing and patient care landscape. Founded in 2017, it offers innovative pharmacy benefit management (PBM) services, including customizable pharmacy benefits for large employers and an AI-powered care navigation platform. Capital Rx focuses on delivering cost-effective solutions and operational efficiencies to clients while ensuring transparency and quality care for patients.

📋 Description

• 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.