Create, grow, and monetize your newsletter with easy-to-use newsletter tools. Build email newsletters and websites without any coding. Backed by Lightspeed and NEA.
About the role
We are looking for a Data Engineer to help build, grow, and maintain our data models, and backend data infrastructure. You will sit at the crossroads of Data Modeling, Data Engineering, Infrastructure, SRE, DevOps, Data Analytics and Backend API Engineering. To apply, you must complete our Values Assessment Questionnaire here . We will consider your responses alongside your qualifications and experience as part of our overall hiring process. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Building data lake architectures with Apache Iceberg and managing a schema catalog
- Building large, high-volume user entity resolution systems
- Building large, high-volume ad attribution systems
- Setting up and using Graph Databases
- Developing applications that act as a secure, correct middle layer between AI and customer data in an OLAP database
- Creating a SQL-like DSL
More about this role
beehiiv is where the world's best newsletters, podcasts, and digital products are built, grown, and distributed. The platform combines email, podcast hosting, websites, community, and digital products — connected to a single audience and a single set of tools to publish, grow, and monetize. As we approach $50M in annualized revenue and continue to grow almost 100% YoY, our rapidly growing product suite and incredibly strong brand position us for the next stage of hypergrowth.
We are looking for a Data Engineer to help build, grow, and maintain our data models, and backend data infrastructure. You will sit at the crossroads of Data Modeling, Data Engineering, Infrastructure, SRE, DevOps, Data Analytics and Backend API Engineering.
To apply, you must complete our Values Assessment Questionnaire here . We will consider your responses alongside your qualifications and experience as part of our overall hiring process.
Ideally, you'll have experience in the following (can be all or mixed):
- 4+ years as a Data Engineer, or a highly technical Data Analytics Engineer.
- Superb SQL skills.
- Building and maintaining Data Models to power analytics, both in app and internally, as well as for...
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