Capital Rx, Inc.
Data Engineer I Denver, Colorado, United States; New York, New York, United Stat
Capital Rx, Inc., Denver, Colorado, United States
Overview
CapitalRx is a health technology company providing claim administration and technology solutions for carriers, health plans, TPAs, employer groups, and government entities. As a public benefit corporation, CapitalRx is executing its mission to materially reduce healthcare costs as a full-service PBM and through the deployment of Judi, the company's cloud-native enterprise health platform. Judi connects every aspect of the healthcare ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, CapitalRx is reimagining the administration of benefits and rebuilding trust in healthcare.
Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)
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 CapitalRx Code of Conduct including reporting of noncompliance
Required Qualifications
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
Preferred Qualifications
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
Note: This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Salary Salary Range: $90,000 - $120,000 USD
Equal Employment Opportunity CapitalRx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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Location: Remote (For Non-Local) or Hybrid (Local to NYC area or Denver, CO)
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 CapitalRx Code of Conduct including reporting of noncompliance
Required Qualifications
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
Preferred Qualifications
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
Note: This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.
Salary Salary Range: $90,000 - $120,000 USD
Equal Employment Opportunity CapitalRx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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