Apply to ReplitAbout 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.
You will…:
Build Spark pipelines using Databricks to help get product data into GCS and BQ from BigTable.
Build Airflow pipelines leveraging data from Spark pipelines as well as client-instrumented events that will serve as the foundation for our metrics and product analytics
Write UDFs to simplify analytics
Required skills and experience:
3+ years of industry experience in a Data Eng role
Experience in B2B SaaS or consumer-facing products
Experience building pipelines and workflows in Airflow and Spark/Databricks
Interest in working closely with product teams
Self-directed and comfortable working autonomously
Bonus Points:
Experience and opinions on dev tools
You’ve worked in a growth-stage startup
Full-Time Employee Benefits Include:
🧑💻 Flexible Work Hours
💰 Competitive Salary & Equity
🖥 Home Office Set-Up Stipend
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
📱 Monthly Expenses Stipend
🚼 Parental and Baby Bonding Leave
🏝 Flexible PTO (2 Weeks Minimum Required) + Holidays
🚀 Annual company/team offsites (4/year)
Want to Learn More?
Replit Product
Interviewing + Culture
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.
The overall market range of base compensation for roles in this area of Replit is typically $150,000 - $210,000. Compensation offered will be determined by additional factors such as location and experience.
We’re building the world’s most ubiquitous programming environment. We focus on inspiring creativity and generating value for creators through community, and we design simple yet scalable infrastructure primitives for the next generation of creators. We want to blur the line between learning and making– a place where you can hang out, tinker with ideas, learn new concepts, and launch a business all in the same day.