Build and own CodeRabbit’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

Requirements

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, BigQuery, 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
Nice to Have: Experience supporting B2B SaaS or developer-focused products, Familiarity with product analytics tools (Amplitude, Mixpanel, PostHog), Experience with BI tools and self-serve analytics, Exposure to reverse ETL or operational analytics

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SQLPythonETL pipelinesdata warehousingdbtAirflowFivetranSegmentSnowflakeBigQuery

communicationbuilder's mindsetcollaborationadaptabilityproblem-solving