Data Engineer
Remote
Full Time
#Engineering
#Healthcare
#Marketplace
#SQL
#Git
#Command Line
#Data Warehouse
#ELT
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 professionals to book on-demand shifts and facilities to access on-demand talent.
About Clipboard Health:
Clipboard Health is a fast-growing Series C marketplace. We are a leader in our Long Term Care vertical and are expanding into several others (Dental Offices, Schools, etc).
We are a YC Top Company with a global, remote team of 600+ people. We have been profitable since 2022, and fill millions of shifts annually at partner workplaces across the US, where tens of thousands of professionals work with us every year.
We are looking for your help to keep growing so we can serve more professionals and workplaces.
To learn more about us, take a look at our website here.
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.
