Job Title: Data Engineer

Company Name: CodeRabbit

Job Details: $160k-$220k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/c026cimk5x5gtl6n

Job Description: Posted 1mo agoData Engineer@ CodeRabbitView All JobsWebsiteSan Francisco or United States$160k-$220k/yrRemoteFull TimeResponsibilities:design pipelines, build data, partner engineeringRequirements Summary:3+ years as a Data Engineer or Analytics Engineer; strong SQL and Python; experience with ETL pipelines and modern data tooling; cloud data warehouses; capable of communicating with cross-functional teams.Technical Tools Mentioned:SQL, Python, dbt, Airflow, Fivetran, Segment, Snowflake, BigQuery, Redshift
About CodeRabbitCodeRabbit 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.Role Review:As a Data Engineer at CodeRabbit, 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.Key Responsibilities:Build and own CodeRabbit’s end-to-end data stack, from ingestion to analyticsDesign and maintain scalable pipelines for product, marketing, sales, and customer dataPartner closely with Engineering to support product analytics, experimentation, and feature measurementEnable Marketing with attribution, funnel analysis, and growth insightsSupport Sales and Revenue teams with pipeline, forecasting, and customer lifecycle reportingDefine 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 environmentMake pragmatic tool choices and iterate as the company scalesQualifications:3+ years of experience as a Data Engineer or Analytics Engineer, ideally in a startup or high-ownership environmentStrong SQL skills and experience with Python or similar languagesExperience 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 requirementsAbility to communicate clearly with engineers, marketers, and sales partnersA builder’s mindset: you enjoy starting with a blank slate and making things realNice to HaveExperience supporting B2B SaaS or developer-focused productsFamiliarity with product analytics tools (Amplitude, Mixpanel, PostHog)Experience with BI tools and self-serve analyticsExposure to reverse ETL or operational analyticsOur Values:🤝 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 worldWhat We OfferWork on cutting-edge technology with real-world impactCollaborative and innovative environmentCompetitive salary, equity, and benefitsProfessional development opportunities