Data Engineer (Global)

About the role

beehiiv builds and distributes newsletters, podcasts and digital products, and is approaching $50M in annualized revenue. It is looking for a Data Engineer to build, grow and maintain its data models and backend data infrastructure, sitting at the intersection of data modeling, data engineering, infrastructure, SRE, DevOps, data analytics and backend API engineering. Candidates must complete a Values Assessment Questionnaire as part of the application.

Key responsibilities

• Build and maintain the ClickHouse data model and aggregations for application and internal analytics.
• Work with Product Engineering to design and implement event streaming applications.
• Harden the Kafka streaming ecosystem around security, performance, cost and scalability.
• Automate deployment of schemas (Kafka topics, Avro schemas), applications and database migrations.
• Build a data lake for long-term storage, disaster recovery and cost optimization.
• Create streaming applications for ETL tasks upstream of the database, such as IP information enrichment.
• Build a global entity resolution system and a first-party data enrichment product based on it.
• Set up testing environments for systems relying on third-party applications.
• Maintain a schemaless architecture that accepts and exposes arbitrary customer events in a high-performance query layer.

Required profile

• 4+ years as a Data Engineer or a highly technical Data Analytics Engineer.
• Experience building data models for analytics and ML feature stores, and managing complex database migrations.
• Ability to work in a team of data and product engineers, disagree and commit, and handle ambiguity and rapid iteration.

Required skills

• Superb SQL and ClickHouse.
• Kafka, Kafka Connect, Schema Registry, Avro and Kafka streaming tools such as Goka.
• Go, Python or Ruby, and production RESTful APIs.
• Kubernetes (deployments, StatefulSets, Helm) and AWS (S3, EKS, VPC, IAM, EFS).
• Infrastructure as code with Terraform and CI/CD.
• Bonus: Apache Iceberg, graph databases, entity resolution and ad attribution systems.

What we offer

• Competitive salary and stock options.
• Health, dental and vision insurance, and a 401(k) employer match.
• Unlimited PTO with a mandatory minimum of 10 days per year.
• Annual in-person team offsite, unlimited book budget and monthly wellness days.