Data Engineer; Global

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, Dev Ops, Data Analytics and Backend API Engineering.

• 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 ML feature stores.
• Managing complex Database Migrations.
• Clickhouse or a similar OLAP database.
• Real Time Streaming and Event Driven Architectures based on Kafka
  - Kafka Connect, Schema Registry, Avro.
• Kafka Streaming Tools and Applications such as Goka.
• Coding in one or multiple languages such as Go, Python or Ruby.
• Production deployments of RESTful APIs.
• Kubernetes
  - Deployments, Stateful Sets, Helm, Troubleshooting etc.
• AWS - S3, EKS, VPCs, IAM, EFS and more.
• Managing and Deploying Infrastructure via IAC such as Terraform.
• CI/CD
  - Both in Application Deployment, and in coordinating related schema changes across various systems.

• 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.

• Building and maintaining our Clickhouse Data Model and Aggregations to serve our Application and Internal analytics.
• Working with Product Engineering to help design and implement event streaming applications.
• Hardening our Kafka Streaming Ecosystem around security, performance, cost, and scalability.
• Automating deployments of various related schemas
  - Kafka Topics, Avro Schemas, Applications, Database Migrations etc.
• Building out a Data Lake system for long term data storage, disaster recovery, and cost optimization.
• Creating new streaming applications to perform various ETL tasks upstream of our database. For example IP info enrichment.
• Building a beehiiv global entity resolution system.
• Building a first party data enrichment product using the above entity resolution.
• Building out testing environments for systems that rely on 3rd party applications.
• Building out a maintaining a schemaless architecture that can accept and expose arbitrary customer event json in a high performance query layer.

• You’re comfortable working with a team of other engineers who work both in Data, and on the wider product
• You can disagree and commit
• Strategic operator with hands-on executional chops.
• Comfortable working in ambiguous, fast-paced environments.
• Work within the creator economy or SaaS experience.
• Obsessed with customer and advertiser outcomes and

• Not a traditional 9-to-5 position.
• Need to manage multiple priorities and stakeholders.
• Must be comfortable with rapid iteration and frequent context switching.
• High expectations for both speed and quality.

Our values aren't a poster on the wall. They're the bar. It’s how we operate,…