Shopify Senior Staff Data Engineer reviews

3.4

55% would recommend to a friend

(5 total reviews)
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Tobias Lütke

55% approve of CEO

55% positive business outlook

Reviews by job title

5 reviews
3.0
Apr 28, 2025

It’s definitely a job

Recommend
CEO approval
Business Outlook

Pros

Pays pretty well, very high talent density, great logo for the résumé, definitely way ahead of the industry curve on some important stuff, net net a product that is better for the world than the only bigger competitor

Cons

The CEO is an intense, volatile person who almost feels like a cult leader at times and several members of the C suite are flat out bad. This permeates the rest of the company, to varying degrees but as time goes by leadership is very clearly working to promote a culture of fear. No company is perfect and normally I would say, the most important thing is your manager and immediate team. But Shopify will reorg you at least once or twice a year so be prepared for that, and for having very little agency in general.

4.0
Feb 25, 2025
Recommend
CEO approval
Business Outlook

Pros

Great compensation, good flexibility, incredible philosophy, strong top down leadership, great tech stack. If you’re happy and efficient at building data pipelines and dashboards , this could be a great fit (not sarcasm, genuine statement!).

Cons

Day to day work is more product analyst than data scientists- building data pipelines, setting up eventing ingestion and wrangling, and creating and maintaining dashboards. There are a lot of requests to track model and track user behavior, but most commonly at a click modeling level. Deeper analysis and more advanced modeling weren’t common and, when they are, don’t go very far in terms of implementation. It is a data heavy culture and the tools are great for achieving that. The problems just tend to be very shallow. There is also a lot of pressure to “ship” and have business impact, which can put you in a bind with balancing superficial, urgent stakeholder dashboard requests and having broader systems level impact that may take more iterations to achieve. This results in more marketing than impact at times, because there’s not a sense of security to support longer running projects.

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