Polar Analytics: What, Why, How & Where
Join the Polar Analytics team
What we’re looking for
We're looking for individuals who love to create products and have ownership from inception to shipping.
We live in a moment where growing with data has never been more essential: your mission at Polar will be critical. We’re looking for people who love to grow and empower brands to grow with data.
Finally, we're looking for humble innovators, people who have crazy ideas and who value impact more than anything else.
Why this role?
- Unlike other Data Engineering roles, you will work on the core product. You will help empower thousands of entrepreneurs to grow their brand, with a product they use daily
- Have an impact on the future of the Modern Data Stack for eCommerce, working on core technologies like dbt, Snowflake, Postgres, Airbyte, Fivetran, Airflow, Kubernetes, etc…
- Have strong ownership as the Data Platform Engineer on the team, and grow a product that is already used by 900+ brands
- Join us at one of the most exciting moments of our history: we are building the core features of the app with $9M raised and a growth rate of 30% month-over-month
What’s the scope
- You will help us add new capabilities and features to the platform to delight users even more
- Real time analytics
- Data sharing capabilities
- … our backlog is huge. You will work closely with Product to gather and translate requirements into technical solutions to achieve the maximum impact
- You will help build a world class data platform (scalable, performant, reliable):
- Unlock new infrastructure capabilities: scale our computing power to support our growth (+ 1000 brands / year), set up new tools in the cloud
- Help scale our multi-tenant architecture. For ex: better isolation of data storage and compute
- You will own the data integrations experience end-to-end
- Build new capabilities to integrate any kind of data into Polar using airbyte, fivetran, singer or custom scripts
- Help provide full observability on the health of the connectors and lifecycle
The job is made for you if...
- 🤖 You love data platforms (build & scale)
- 💃 You are passionate about data products: you are creative and curious when it comes to data, with an active technological watch
- 🚀 You have engineered robust APIs in a production environment with multiple users
- 🕐 You have spent a meaningful time (5+ years) as a hands-on data-engineer / software engineer
- 🦾 You are fluent in Python and have a good knowledge of SQL