Data Engineer
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.
Data Engineer
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.