Data Engineer

Happyrobot • San Francisco, CA

11h

About The Position

About HappyRobot HappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy. Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto . HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot. About the Role Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company. Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company. Build and maintain robust data pipelines and models to ensure data quality. Partner with Product, Engineering, and Design teams to inform decisions. Translate complex data into clear, actionable insights for product teams. Love working with data. Love making product better. Love finding the story behind the numbers.

Requirements

• 3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles.
• Strong SQL and data engineering skills to transform data into accurate, clean data models (e.g., dbt, Airflow, data warehouses).
• Proficiency in Python for data analysis and modeling.
• Excellent communication skills: able to explain complex data insights clearly.
• Curious, collaborative, and driven to make an impact in a fast-paced environment.

Nice To Haves

• Experience in B2B SaaS or AI/ML products.
• Familiarity with product analytics tools (e.g., Mixpanel, Amplitude).
• Exposure to machine learning concepts or AI-powered systems.

Responsibilities

• Define, build, and maintain product metrics, dashboards, and pipelines.
• Write SQL and Python code to extract, transform, and analyze data.
• Design and run experiments (A/B tests) to support product development.
• Proactively explore data to identify product opportunities and insights.
• Collaborate with cross-functional teams to ensure data-driven decisions.
• Ensure data quality, reliability, and documentation across analytics efforts.

Benefits

• Opportunity to work at a high-growth AI startup , backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 51-100 employees