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Data Engineer

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Replit

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Location:
United States , Foster City

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

160000.00 - 325000.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • Design, build, and maintain scalable data pipelines that power analytics and data-driven decision-making across Replit
  • 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

Requirements:

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

Nice to have:

  • Experience with modern data stack tools (dbt, Fivetran, Segment, HEX, Databricks, Amplitude)
  • Background in high-growth SaaS or PLG companies
  • Familiarity with event-based analytics platforms, data visualization tools, and software engineering best practices
  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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