Low-code data modeling and orchestration --- a new kind of data OS

Analytics Engineer

$110k - $140k / 0.25% - 0.75%
San Francisco / Remote
Job Type
1+ years
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Ken Van Haren
Ken Van Haren

About the role

What working with us is like

We're a small team based in San Francisco with a few colleagues remote around the world. We have a hybrid office culture with 2 days a week at home and 3 in our Financial District office, SF. We will hire talented people regardless of location, but we prefer candidates in the SF Bay Area or willing to relocate.

What we're looking for

  • Analytics engineer with strong business knowledge and mastery of SQL and ETL.
  • 2+ years experience implementing business data solutions for tech companies, can transform raw data into a clean and elegant data warehouse.
  • Curiosity and drive to deepen technical and business skills and grow with the company.

Your responsibilities

  • Solve industry data problems problems at scale by building use cases for the Basis ecosystem
  • Customers - Interact with customers, learn their problems, implement solutions for them in Basis
  • Product - contribute to core product discussion and help drive our roadmap. Suggest product feature to help with distribution and growth.
  • Community - help us prioritize our community strategy. Be an active participate in data science forums, contribute to our own Slack/Reddit/Discord etc.

What we can offer

  • As an early hire, a substantial equity package
  • Competitive cash pay
  • All of the standard benefits

Why you should join Patterns

Patterns is a new type of data operating system that encourages rapid prototyping, creative problem solving, and sharing of solutions to everyday data problems.

It lets users integrate their data sources, build clean data models, and then analyze and automate their entire business on one platform, all powered by open-source Python and SQL components that can be forked and customized.

Instead of providing a specific solution to a narrow type of problem, Patterns provides building blocks that can be used to solve any data problem.

These building blocks are a complete toolkit that abstract over cloud infrastructure to provide a set of primitives that developers can use to build powerful applications, without the pain of managing the underlying infrastructure.

We combine this powerful toolkit with a web-based IDE so that you can prototype and deploy production applications from a single tool — removing friction, improving accessibility, and spawning collaboration so that everyone on the data team is a stakeholder.

Team Size:7
Location:San Francisco
Chris Stanley
Chris Stanley
Ken Van Haren
Ken Van Haren