Data Engineer

📋 Description

• Partner with the Data Science teams and help translate modeling needs into dataset requirements
• Design scalable and efficient dataset workflows and ensure pipeline reliability through validation
• Ship production-ready data solutions that enable ML applications and deliver real-world impact on
• Identify gaps and opportunities, contributing to technical decisions and roadmap priorities that
• Collaborate across Data Science, Engineering, and Data Platform, communicating technical decisions

🎯 Requirements

• Strong technical foundations in data engineering, software engineering, and systems design, backed
• Hands-on experience developing production data pipelines, with the ability to clearly explain the
• Ownership, sound judgment, and systems thinking, with the ability to navigate technical
• Fluency with AI-assisted workflows, leveraging modern tools to improve productivity and quality
• Curiosity, humility, and a collaborative mindset, with a commitment to continuous learning, sharing

🎁 Benefits

• Work from (almost) anywhere for up to 20 days per year
• Company-paid therapy sessions through SpringHealth
• Company-paid subscription to HeadSpace
• Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of
• No meeting Fridays
• Paid parental leave