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Backend Data Analytics Engineer

beehiiv • Full-time • US • $160k - $190k / year • 1w ago

Backend Data Analytics Engineer

Department: Engineering

Employment Type: Full Time

Location: Remote

Reporting To: Eric Abis

Compensation: $160,000 - $190,000 / year

Description

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.

The ideal candidate is someone who is familiar with data modeling concepts, has experience abstracting SQL logic into business metric-centered APIs, and has worked closely with core application engineers.

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

Other nice-to-have's but not necessary experience:

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

Soft skills you have:

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?

Bias towards action

Our first impulse is to act. We don’t get bogged down in unnecessary processes or bullsh**t. Perfection is the enemy of progress.

Ownership mentality

This company is ours. We go the extra mile because that’s what owners do. Every day, people step up to take on tasks outside of their responsibilities and do whatever it takes for us to succeed.

Building is in our DNA

We are obsessed with improving every aspect of our platform (and ourselves). Whether it’s our product, support, or partnerships, we never stop working to improve it.

We answer to our users

Nothing matters more than serving our users. If our users fail, we fail.

Ego comes second, but winning comes first

We put our egos aside to work collaboratively and build something special. It doesn't matter who's idea or who's vision, we're here to create the best outcome. We're here to win.