Website Beehiiv
Description
Job Title: Backend Data Analytics Engineer
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:
- Click house
- 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:Â
- 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 bullshit. 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.
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)
About beehiiv
We’re empowering creators to create, monetize, and grow by building the most powerful and robust newsletter platform, built by newsletter people. And we’re only just getting started 🚀
beehiiv is committed to a diverse and inclusive workplace. beehiiv is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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To apply for this job please visit careers.beehiiv.com.
Backend Data Analytics Engineer at Beehiiv, Remote (Global)
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