🛠 Tech Stack

💼 About This Role

You'll join Upside's core data platform team, building trusted data products that power internal analytics and customer-facing features. You'll improve our analytics platform and enable others to do their best data work, working with large datasets and complex business logic. This role offers an opportunity to grow as a technical contributor while collaborating across the company.

🎯 What You'll Do

• Design and build scalable data products using dbt, Snowflake, and Dagster
• Translate ambiguous business needs into structured, trustworthy data assets
• Contribute to shared platform tooling for orchestration, testing, and observability
• Support teammates by onboarding users, resolving data issues, and documenting best practices

📋 Requirements

• 3+ years in data or analytics engineering roles with modern data stack
• Fluent in SQL writing performant modular transformations at scale
• Working knowledge of Python for data orchestration and testing
• Understand tradeoffs between modeling approaches like Kimball vs OBT

✨ Nice to Have

• Experience supporting machine learning workflows
• Familiarity with DevOps practices for data (CI/CD, governance)
• Experience in a fast-growing startup or platform team environment

🎁 Benefits & Perks

• 🏥 Medical, dental, and vision coverage starting Day 1
• 🏖️ Unlimited PTO plus 10 paid holidays and week-long Winter Break
• 💰 Equity (ISOs) and 401(k) program
• 🧘 Wellness memberships and mental health support
• 📚 Learning and Development stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite / Final Round· 3-4 hours

🚩 Heads Up

• In-office requirement may increase based on project needs and policy changes