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Staff Data Engineer job

Allbirds, Inc. jobs
Company Type:  Certified B Corporation
Industry:  Other/Not Classified
Employment:  Full-time
Impact Area:  Quality of Life
Company Name:  Allbirds, Inc.
Country:  United States


San Francisco, CA | Engineering Team | Reports to Head of Engineering

Who is Allbirds?

At Allbirds, we’re on a mission to prove that comfort, good design and sustainability don’t have to be mutually exclusive. We are dedicated to making the most sustainable footwear we can using premium natural materials, designed for the to and fro of everyday life. Our commitment to making better shoes in a better way is fueled by a belief that the shoe industry needs to focus less on flash and more on thoughtfulness. With funding from the leading venture capitalists in consumer products, and the founding CEOs of some of the greatest e-commerce businesses in recent history, our desire to shake up the footwear industry is off to a great start. In fact, TIME already called our first shoe, the Wool Runners, the most comfortable in the world, and there is much more to come.

Where we need help

After an incredible first year where our growth expectations, we have outgrown our current capabilities to gain insights from our massive collection of data. We must turn our data into a strategic asset by significantly investing in our data capabilities. You will be the first hire on our data engineering team, and will lead the architecture, design, and implementation of our data pipelines, data lake, and data warehouse capabilities from the ground up, taking advantage of all the latest cloud computing advancements.

What does the job entail?

  • Responsible for owning entire data infrastructure, end-to-end

  • Make key decisions on the technologies and tools we buy or build (ex. Redshift vs BigQuery vs Hadoop, etc.)

  • Engineer robust architectures to ensure near zero downtime for company-critical ETLs

  • Write code for all parts of our data infrastructure. This is a hands-on roll

  • Work closely with Marketing, Supply Chain, and Analytics to define data requirements

  • Design and implement data models using best practices for our data warehouse

What kind of person are we looking for?

  • You are obsessed with building high quality, performant, and resilient systems

  • You have experience building out large-scale data infrastructure from the ground up

  • You are versed in data warehousing architecture and data modeling best practices, including performance tuning techniques

  • You have experience with AWS or equivalent cloud technologies or have the aptitude to quickly learn them

  • You are curious and are motivated to explore new technologies on your own

  • You have strong opinions and can communicate them well. You also hear all sides of a debate and adapt to new perspectives that emerge from it

  • You start by fully understanding the problem first and then work your way into the right solution

More practical skills needed:

  • BS/MS in a quantitative discipline: Computer Science, Engineering, Applied Mathematics, etc

  • 10+ years of data infrastructure experience

  • Strong software engineering background with significant coding experience (java/scala, python, sql, etc...).  

What can we offer?

  • Competitive salary + equity

  • Health insurance

  • Fitness benefits

  • 401k retirement savings plan

  • Paid parental leave

  • Free shoes

ref: (SB_3086)
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