
Backend Data Analytics Engineer
Beehiiv
- Software Development
- Remote
- United States
- $160,000 - $190,000/yr
About the Role
Beehiiv is on a mission to help the next million creators, publishers, and companies scale and monetize their audiences. We’re already home to tens of thousands of the most popular newsletters in the world—and we’re just getting started. We hit $1M ARR in January 2023, surpassed $7M ARR in January 2024, and are on track to reach $40M by the end of 2025 📈.
We are looking for a Backend Data Analytics Engineer to join beehiiv’s Data and Infrastructure team to help build out our next generation Data Platform. This role will sit at the crossroads of Data Modeling, Backend API Engineering, Data Analytics and Data Engineering. You will be responsible for maintaining our data model definitions and exposing them via internal and external APIs to our main application and external customers.
Ideally, you have:
- SQL expertise
- Have experience translating business concepts and metrics into an actual data model and SQL queries.
- Have worked with a production OLAP database to power internal and/or external real-time analytics.
- Are proficient in either Ruby or Python.
- Have experience with production deployments of RESTful APIs.
- Have experience debugging, scaling, and troubleshooting issues
- Are willing to learn Ruby if already proficient in another language
- Clickhouse
- Kafka Ecosystem
- Kafka
- Kafka Connect
- Avro / Schema Registry
- Real Time Streaming technologies such as:
- Kafka Streams
- KSQL
- GoKa
- Built and maintained a CLI for customers to retrieve data.
- Have experience using AI with data retrieval
- GoLang
- Bash Scripting
- CI/CD
- Kubernetes
- Kubectl
- Helm / Helmfile
- AWS
- Networking
- EC2
- ALB
- IAM
- You’re comfortable working with a team of other engineers who work both in Data, and in the broader product
- You have or are excited to work in a fast-paced startup environment
- You are comfortable with feedback
- You can disagree and commit
You’ll be responsible for:
- Refactoring and consolidating our migrations
- Building out unit and integration testing suites and frameworks for the above schema
- Enabling environment customization for testing and deployment
- Creating a new service within our main application repo to abstract database and data modeling complexity away from the main codebase
- Work on real-time event based services
- Work on a new segmentation architecture
Why beehiiv?
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 retreat
- Unlimited book budget
- Two deep-focus days without meetings
- Wellness day each month (every third Friday)
Job Overview
Job Title
Backend Data Analytics Engineer
Job Type
Remote
Category
Software Development
Offered Salary
$160,000 - $190,000/yr
Location
United States

Backend Data Analytics Engineer
Beehiiv
- Software Development
- Remote
- United States
- $160,000 - $190,000/yr
- Software Development
- Remote
- United States
- $160,000 - $190,000/yr
About the Role
Beehiiv is on a mission to help the next million creators, publishers, and companies scale and monetize their audiences. We’re already home to tens of thousands of the most popular newsletters in the world—and we’re just getting started. We hit $1M ARR in January 2023, surpassed $7M ARR in January 2024, and are on track to reach $40M by the end of 2025 📈.
We are looking for a Backend Data Analytics Engineer to join beehiiv’s Data and Infrastructure team to help build out our next generation Data Platform. This role will sit at the crossroads of Data Modeling, Backend API Engineering, Data Analytics and Data Engineering. You will be responsible for maintaining our data model definitions and exposing them via internal and external APIs to our main application and external customers.
Ideally, you have:
- SQL expertise
- Have experience translating business concepts and metrics into an actual data model and SQL queries.
- Have worked with a production OLAP database to power internal and/or external real-time analytics.
- Are proficient in either Ruby or Python.
- Have experience with production deployments of RESTful APIs.
- Have experience debugging, scaling, and troubleshooting issues
- Are willing to learn Ruby if already proficient in another language
- Clickhouse
- Kafka Ecosystem
- Kafka
- Kafka Connect
- Avro / Schema Registry
- Real Time Streaming technologies such as:
- Kafka Streams
- KSQL
- GoKa
- Built and maintained a CLI for customers to retrieve data.
- Have experience using AI with data retrieval
- GoLang
- Bash Scripting
- CI/CD
- Kubernetes
- Kubectl
- Helm / Helmfile
- AWS
- Networking
- EC2
- ALB
- IAM
- You’re comfortable working with a team of other engineers who work both in Data, and in the broader product
- You have or are excited to work in a fast-paced startup environment
- You are comfortable with feedback
- You can disagree and commit
You’ll be responsible for:
- Refactoring and consolidating our migrations
- Building out unit and integration testing suites and frameworks for the above schema
- Enabling environment customization for testing and deployment
- Creating a new service within our main application repo to abstract database and data modeling complexity away from the main codebase
- Work on real-time event based services
- Work on a new segmentation architecture
Why beehiiv?
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 retreat
- Unlimited book budget
- Two deep-focus days without meetings
- Wellness day each month (every third Friday)