Data Engineer job opportunity at Replit.

Home Jobs In United States Of America Tag: Engineering Data Engineer position at Replit


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Replit Data Engineer
Experience: General
Pattern: full-time
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Engineering

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degreeBachelor's (B.Sc.)
loacation Foster City, CA (Hybrid) In office M,W,F, United States Of America
loacation Foster City, C..........United States Of America

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: 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. We're hiring across levels for this role, Mid-level to Staff Data Engineers. You will: 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. Examples of what you could do: 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. Required skills and experience: 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. Preferred Qualifications: Experience with modern data stack tools (dbt, Fivetran, Segment, HEX, Databricks, Amplitude) and background in high-growth SaaS or PLG companies. Familiarity with event-based analytics platforms, data visualization tools, and software engineering best practices. Bonus Points: Experience with real-time data processing, reverse ETL tools, or developer tools and collaborative coding environments. Knowledge of data governance frameworks or machine learning pipelines and feature engineering. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: ???? Competitive Salary & Equity ???? 401(k) Program with a 4% match ⚕️ Health, Dental, Vision and Life Insurance ???? Short Term and Long Term Disability ???? Paid Parental, Medical, Caregiver Leave ???? Commuter Benefits ???? Monthly Wellness Stipend ????‍???? Autonomous Work Environment ???? In Office Set-Up Reimbursement ???? Flexible Time Off (FTO) + Holidays ???? Quarterly Team Gatherings ☕ In Office Amenities Want to learn more about what we are up to? Meet the Replit Agent Replit: Make an app for that Replit Blog Amjad TED Talk Interviewing + Culture at Replit Operating Principles Reasons not to work at Replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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