Data Engineer (Medtech)

TL;DR

Data Engineer (Python/SQL): Building and maintaining data transformation pipelines and complex domain models for the Acumen product with an accent on data integrity and scalability. Focus on optimizing data storage, designing ETL processes, and collaborating with actuarial teams to deliver high-quality healthcare data solutions.

Location: Remote candidates living and authorized to work in the continental United States are eligible to apply. Company is located in the San Francisco Bay Area.

Company

hirify.global is a healthcare-focused company dedicated to improving healthcare through data-driven solutions.

What you will do

• Build and maintain data transformation pipelines with robust testing to ensure data integrity.
• Design and implement models with complex domain and business logic for the Acumen product.
• Collaborate with cross-functional teams, including the Actuarial Team, to deliver high-quality data solutions.
• Optimize data storage and retrieval processes to improve system performance and scalability.
• Participate in code reviews and maintain high standards of code quality.

Requirements

• 2+ years of professional data engineering experience.
• Strong proficiency in SQL and Python.
• Extensive experience in managing data transformation pipelines.
• Solid understanding of data modeling, data warehousing, and ETL processes.
• Experience with version control systems (Git).
• Must be living in and authorized to work in the continental United States.

Nice to have

• Experience with dbt (data build tool).
• Experience with BigQuery and Snowflake.
• Knowledge of healthcare data and HIPAA regulatory requirements.

Culture & Benefits

• Opportunity to work with subject matter experts in the healthcare domain.
• Commitment to a diverse and inclusive work environment as an Equal Opportunity Employer.
• Focus on producing high-quality work with a direct impact on healthcare improvement.