Data Engineer

About Code Rabbit

Code Rabbit is an innovative research and development company focused on building extraordinarily productive human-machine collaboration systems. Our primary goal is to create the next generation of Gen AI-driven code reviewers: a symbiotic partnership between humans and advanced algorithms that significantly outperforms individual engineers. We combine language models with human ingenuity to push the boundaries of software development efficiency and quality.

As a Data Engineer at Code Rabbit, you’ll be responsible for building the company’s data infrastructure from the ground up. You’ll work shoulder-to-shoulder with Engineering, Marketing, and Sales to turn raw product and go-to-market data into reliable, actionable insights. This is a hands‑on, high‑impact role with broad ownership and real influence over how the company measures success.

• Build and own Code Rabbit’s end‑to‑end data stack, from ingestion to analytics
• Design and maintain scalable pipelines for product, marketing, sales, and customer data
• Partner closely with Engineering to support product analytics, experimentation, and feature measurement
• Enable Marketing with attribution, funnel analysis, and growth insights
• Support Sales and Revenue teams with pipeline, forecasting, and customer lifecycle reporting
• Define and document core business metrics so everyone is aligned on “what good looks like”
• Establish best practices for data quality, testing, and reliability in a fast‑moving environment
• Make pragmatic tool choices and iterate as the company scales

• 3+ years of experience as a Data Engineer or Analytics Engineer, ideally in a startup or high‑ownership environment
• Strong SQL skills and experience with Python or similar languages
• Experience building ETL pipelines and working with modern data tooling (e.g., dbt, Airflow, Fivetran, Segment, or equivalents)
• Hands‑on experience with cloud data warehouses (Snowflake, Big Query, Redshift, etc.)
• Comfort working with messy, incomplete data and evolving requirements
• Ability to communicate clearly with engineers, marketers, and sales partners
• A builder’s mindset: you enjoy starting with a blank slate and making things real

• Experience supporting B2B SaaS or developer‑focused products
• Familiarity with product analytics tools (Amplitude, Mixpanel, Post Hog)
• Experience with BI tools and self‑serve analytics
• Exposure to reverse ETL or operational analytics

• 🤝 Collaborative Humans:
  Prioritizing collective intelligence
• 🚀 Fearless Innovators:
  Turning obstacles into growth opportunities
• 💪 Persistent, Passionate Developers:
  Thriving on complex, long‑term challenges
• 🎯 Impact‑Driven Creators:
  Crafting intuitive tools for developers
• 🧠 Rapid Learners and Un‑learners:
  Adapting quickly in our fast‑paced technological world

• Work on cutting‑edge technology with real‑world impact
• Collaborative and innovative environment
• Competitive salary, equity, and benefits
• Professional development opportunities