Backend Data Analytics Engineer, Beehiiv

• The ideal candidate is someone who is familiar with data modeling concepts, has experience abstracting SQL logic into business metric-centered APIs, and has worked closely with core application engineers
• SQL expertise
• Have experience translating business concepts and metrics into an actual data model and SQL queries
• Have worked with a production OLAP database to power internal and/or external real-time analytics
• Are proficient in either Ruby or Python
• Have experience with production deployments of RESTful APIs
• Have experience debugging, scaling, and troubleshooting issues
• Are willing to learn Ruby if already proficient in another language
• You’re comfortable working with a team of other engineers who work both in Data, and in the broader product
• You have or are excited to work in a fast-paced startup environment
• You are comfortable with feedback
• You can disagree and commit

Desirable

• We are looking for a Backend Data Analytics Engineer to join beehiiv’s Data and Infrastructure team to help build out our next generation Data Platform
• This role will sit at the crossroads of Data Modeling, Backend API Engineering, Data Analytics and Data Engineering
• You will be responsible for maintaining our data model definitions and exposing them via internal and external APIs to our main application and external customers
• Reporting to: Eric Abis
• Refactoring and consolidating our migrations
• Building out unit and integration testing suites and frameworks for the above schema
• Enabling environment customization for testing and deployment
• Creating a new service within our main application repo to abstract database and data modeling complexity away from the main codebase
• Work on real-time event based services
• Work on a new segmentation architecture

• Applied
• Hired