Interesting Data Gigs # 63: Who is hiring this week
Open positions at Nike, HubSpot, Rippling, Databricks, BILL and more
Marcos Ortiz
October 07, 2023
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Hey Data Geek.
Let’s go straight to business.
Who is hiring this week?
Irene Dea from MosaicML (now part of Databricks) is hiring for several positions: Senior Machine Learning Engineer - GenAI Platform (Pay range in SF: $166,000—$225,000 USD), Machine Learning Engineer IV - GenAI Performance (Pay range in SF: $150,000—$190,000 USD), Senior Machine Learning Engineer - GenAI Runtime (Pay range in SF: $166,000—$225,000 USD); and Senior Staff Software Engineer - GenAI Platform (Pay range in SF: $232,000—$313,000 USD)
Pete Williams from Penguin Random House UK is looking for a Head of Data Engineering (Location: London, UK, Compensation: £100,000 depending on how your skills and experience align to the role, plus bonus and benefits). Chat with Alexandra Field if you want to know more about it
Nick Bilozerov from Stripe is looking for several Data Engineers for his team based in Canada
Syed Arshad from BILL is looking for a Director of Artificial Intelligence (Location: San Jose, CA; Salary range:
$243,400—$304,700 USD)
HubSpot is hiring Data Infrastructure people in Spain and Ireland: Staff Software Engineer, Backend - Data Infrastructure (Location: Madrid, Spain), and Senior Data Infra Engineer II (Location: Dublin, Ireland)
Adyen is hiring a Senior Data Engineer in (Location: Chicago, IL)
Rippling is hiring Staff Software Engineers focused on Data Infrastructure in San Francisco and New York (Salary range: $153,000/yr - $279,000/yr)
Natalia Prieto Crucich from Yape is hiring an Analytics Engineer (Location: Lima, Peru)
Figma is hiring a Data Engineer (Location: San Francisco, CA)
Nike is hiring a Principal Data Engineer (Location: Atlanta, GA; Salary range: $131,000 to $285,000 per year)
and finally, ZOE is hiring a Senior Data Engineer - Core Science (Location: UK/EU or compatible timezone (Remote))
Good luck with your job application
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Newsletter recommendation of the week
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Interesting resources of the week
How to make SQL queries faster, by Ergest Xheblati, the author of Minimum Viable SQL Patterns
Behind the Rust Hype: What Every Data Engineer Needs to Know, by Benjamin Rogojan (aka Seattle Data Guy) and Daniel Beach
Podcast: Applying artificial intelligence to investing and finance, with Auquan CEO Chandini Jain
Good Data To Growth: An Introduction to the GDG Model, by Arpit Choudhury
Marcos out
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