Data Engineer
Practice Better
About the role
About
Join a remote-first team as a Data Engineer driving impactful health solutions. Lead the development of AI-supported workflows and maintain a vital data infrastructure to support our mission.
In this pivotal role, you'll take ownership of the entire data stack and ensure high-quality, reliable data for decision-making. You will collaborate with teams across the organization and play a key role in building and optimizing robust ELT/ETL pipelines. Your work will ensure that data serves as a strategic asset in our growth journey.
Responsibilities
- Manage the complete data infrastructure, including dbt and Stitch
- Build and optimize data pipelines for analytics and reporting
- Monitor data quality and implement testing frameworks
- Partner with stakeholders to improve AI-assisted workflows
- Maintain critical integrations with systems like HubSpot
Requirements
- 5+ years in data engineering or analytics roles
- Strong experience with Snowflake and dbt
- Proficient in Python for data automation
- Background in ELT/ETL processes
- Excellent written documentation skills
Drive meaningful impact in healthcare by ensuring data integrity and advancing innovative data solutions.
Skills
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free