Data Engineer, Replit

• 5+ years of experience building production data pipelines with strong SQL skills and experience designing data models
• Experience with modern data transformation tools (dbt preferred), proficiency in Python, and hands-on experience with cloud data warehouses (BigQuery, Snowflake, Redshift)
• Understanding of data warehouse design principles and ability to communicate effectively with both technical and non-technical stakeholders

Desirable

• As a Data Engineer, your job is to facilitate data analytics and measurement at scale at Replit. You'll work with product and business teams to help build data pipelines and transformations to enable us to understand and measure product usage. You'll also work to make our data scientists and analysts -- and the business decisions that depend on them-- more powerful and efficient
• Design, build, and maintain scalable data pipelines that power analytics and data-driven decision-making across Replit (e.g. tracking Repl deployments, AI agent usage, etc.)
• Develop ETL/ELT workflows using modern data stack tools and transform raw data into clean, reliable datasets that enable self-service analytics
• Partner with teams across the company to understand data needs, deliver robust solutions, and implement data quality monitoring to ensure accuracy and reliability
• Build unified data models combining product usage, billing, and customer data to enable cohort analysis and retention tracking
• Design real-time pipelines that surface key metrics and automated data quality checks to catch inconsistencies before they impact downstream users
• Create dimensional models that enable flexible analysis of user behavior, feature adoption, and conversion funnels