Data Engineer – Global

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🔥 1 minute ago

🇺🇸 United States – Remote

💵 $160k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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beehiiv

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

☁️ SaaS

📱 Media

🤝 B2B

SaaS • Media • B2B

beehiiv is a SaaS platform that enables creators, publishers, and businesses to build, grow, and monetize newsletters and publication websites with no-code tools. It provides a newsletter editor, website builder, AI automations, growth tools (referral programs, pop-ups, boosts), audience segmentation, analytics, and an integrated ad network and monetization features such as paid subscriptions and sponsorships. The platform targets individual creators, media brands, and businesses looking to publish content, engage audiences, and generate revenue from their newsletters and sites.

📋 Description

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

🎯 Requirements

• 4+ years as a Data Engineer, or a highly technical Data Analytics Engineer • Superb SQL skills • Experience building and maintaining data models for analytics and ML feature stores • Experience managing complex database migrations • Experience with ClickHouse or a similar OLAP database • Experience with real-time streaming and event-driven architectures based on Kafka, including Kafka Connect, Schema Registry, and Avro • Experience with Kafka streaming tools and applications such as Goka • Coding experience in one or more languages such as Go, Python, or Ruby • Experience with production deployments of RESTful APIs • Experience with Kubernetes, including Deployments, StatefulSets, Helm, and troubleshooting • Experience with AWS, including S3, EKS, VPCs, IAM, and EFS • Experience managing and deploying infrastructure via IaC such as Terraform • Experience with CI/CD for application deployment and coordinating schema changes across systems • Must complete the Values Assessment Questionnaire • Comfortable working with engineers across Data and wider Product teams • Comfortable with disagreement and commitment, ambiguity, rapid iteration, context switching, and multiple priorities • Creator economy or SaaS experience • Bonus: Apache Iceberg, schema catalogs, entity resolution systems, ad attribution systems, graph databases, AI/data security layers, or SQL-like DSL development

🏖️ Benefits

• Competitive salary • Stock options • Health, dental, and vision insurance • 401(k) employer match • Unlimited PTO (mandatory 10 days per year minimum) • Annual in-person team offsite • Unlimited book budget • Monthly Wellness Days (every third Friday of the month)

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