Data Engineer

Why Clipboard Health Exists:

We exist to lift as many people up the socioeconomic ladder as possible. We dramatically improve lives, by letting healthcare professionals turn extra time and ambition into career growth and financial opportunity. We achieve this with our app-based marketplace that connects healthcare facilities and healthcare professionals, allowing healthcare professionals to book on-demand shifts and healthcare facilities to access on-demand talent. Our mission is to enable healthcare professionals to work when and where they want, and to enable healthcare facilities to meet their talent needs.

About Clipboard Health:

Clipboard Health is a post-Series C, extremely fast-growing tech startup with classic two-sided network effects, revolutionizing the market for healthcare talent. We are a diverse and inclusive company with a global, remote team. We’ve been featured on YC’s Top Companies and grown 20x+ since January 2021. There has never been a more exciting time to join our growing team and help us serve even more healthcare professionals and healthcare facilities, who can then better serve patients. To learn more about working at Clipboard Health, take a look at our Careers page and how we work.

This is an opportunity to join Clipboard Health’s burgeoning data team as a Data Engineer. The Data Engineer will be responsible for building and maintaining our entire data analytics stack. From data ingestion (we use Hevo) into our data warehouse (Snowflake), transformation (dbt) all the way to our BI tools (Metabase and Hex). The Data Engineer’s key responsibility is to help our internal customers access the data they need. To that end the data engineer will work closely with business stakeholders to build new data pipelines to ingest and transform data into highly usable datasets.

Requirements:

• Comfortable working with Git and the command line
• Track record with writing SQL transformations to drive business insights
• Clear and direct communication skills about complex, technical topics
• Strong understanding of data warehouse architecture, analytic databases and dimension design concepts 
• Experience with build data models in dbt
• Experience with an ELT tool (such as Airbyte or Fivetran)

Responsibilities:

• Expand our data warehouse with clean data ready for analysis and reporting
• Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale data infrastructure
• Evolve our CI/CD strategy on the data team’s code base
• Guide and implement architectural improvements to our data infrastructure
• Build and maintain data ingestion pipelines

Perks of Working with us: 

• Do meaningful work in healthcare for customers who could really use your help.
• Work on a product with strong product-market fit and a backlog of validated customer problems. If you build it, they will use it.
• Enjoy fully remote work with zero commutes. There is no “back-to-office” because we were remote from day 1.
• Being globally remote means we know how to work asynchronously. We work hard, but we also enjoy a flexible personal schedule and unlimited paid time off.