Data Engineer

Beehiiv; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Stock options

Health, dental, and vision insurance

401(k) employer match

Unlimited PTO

Annual in-person team offsite

Unlimited book budget

Monthly Wellness Days

Job summary

beehiiv is seeking a Data Engineer to build, grow, and maintain data models and backend data infrastructure. You’ll sit at the crossroads of Data Modeling, Data Engineering, Infrastructure, SRE, DevOps, Data Analytics and Backend API Engineering.

Ideal candidates have 4+ years in data engineering, superb SQL, and experience with Clickhouse, Kafka, and cloud-based data stacks. You’ll help scale our analytics and ML initiatives while collaborating across product engineering and data teams.

Qualifications

• 4+ years as a Data Engineer or highly technical Data Analytics Engineer.
• Superb SQL skills.
• Experience building and maintaining data models for analytics and ML feature stores.
• Experience with complex database migrations.
• Familiarity with Clickhouse or similar OLAP databases.
• Real-time streaming and event-driven architectures based on Kafka.
• Experience with Kafka tooling (Kafka Connect, Schema Registry, Avro).
• Proficiency in Go, Python or Ruby.
• Production deployments of RESTful APIs.
• Kubernetes deployments and troubleshooting.
• AWS (S3, EKS, VPCs, IAM, EFS).
• Infrastructure as Code with Terraform.
• CI/CD for deployments and schema changes.

Responsibilities

• Build and maintain Clickhouse data model and aggregations for app and internal analytics.
• Collaborate with Product Engineering to design event streaming applications.
• Hardening Kafka streaming ecosystem for security, performance, cost and scalability.
• Automate deployments of related schemas and migrations.
• Build out a Data Lake for long-term storage, DR, and cost optimization.
• Create streaming applications for ETL tasks upstream of databases (IP info enrichment).
• Develop a global entity resolution system and a first-party data enrichment product.
• Create testing environments for 3rd party integrations and maintain a schemaless architecture for customer events.

Skills

SQL

Data Modeling

Data Warehousing

Kafka

Go

Python

REST APIs

Kubernetes

AWS

Terraform

Education

Bachelor's degree in Computer Science or related field

Tools

Clickhouse

Kafka Ecosystem

Schema Registry

Avro

Goka

Iceberg

Job description

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.

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 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, StatefulSets, 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.

Bonus experience:

• 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.

What you’ll be responsible for:

• 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 DataLake 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.

Why this role might be for you:

• 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

Why this role might not be for you:

• 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.

Why beehiiv?

Our values aren’t a poster on the wall. They’re the bar. It’s how we operate, publicly and privately, and what we should return to when making decisions. That’s how we keep our team’s momentum. That’s how we hire and keep A players.

beehiiv’s core values

• There’s no room for B players : the best makes everyone better.
• Maniacal sense of urgency : speed is our superpower.
• Say what you think with positive intent : disagree openly and give hard feedback directly, with the intent to help someone improve.
• User-obsessed : every decision starts with one question: how does this add value for the user?
• Ego comes second, winning comes first : we’re here to create the best outcome; the team comes before the individual.

We’ll take care of you:

• 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)