Data Analytics Engineer – Replit
Data Analysis
Login to bookmark
Bookmark Details
Replit (11-50 Employees, 600% 2 Yr Employee Growth Rate)
88% 1-Year Employee Growth Rate | 600% 2-Year Employee Growth Rate | LinkedIn | $24.6M Venture Funding
What Is Employee Growth Rate & Why Is It Important?
Computers are the most powerful tools to exist in the history of humanity. Today, only a relative few—professional software developers—can use this superpower to its fullest extent. This has created an unbalanced world where there are programmers and those who consume their programs. Replit is changing that dynamic by bringing the next billion software creators online.
As a Data Analytics Engineer, you will be responsible for designing, building, and maintaining our data analytics infrastructure. You will work with stakeholders throughout the firm to understand their data needs and requirements, and help them implement data-driven solutions to a wide variety of problems. This role is a great opportunity to work closely with the many teams throughout the company, including Product, Business, Finance, and Engineering.
Excited about the opportunity, but worried you don’t meet all the requirements? Apply anyway, and give us both the chance to find out.
Roles & Responsibilities
-
- Develop, manage, and maintain our data analytics infrastructure
- Design and maintain ETL processes to ensure data quality and integrity
- Combine data across multiple disparate sources
- Build and maintain dashboards and reports to help stakeholders understand and utilize data
- Move us towards a robust data platform with self-service capabilities for the entire team
What Makes a Great Candidate
-
- A proven track record of developing and maintaining infrastructure for data analytics
- Extensive experience with SQL
- Appreciation for simplicity and pragmatism
- A “roll up your sleeves” mentality and comfort with ambiguity
- Passionate about making programming accessible to all
Valued But Not Required
-
- Experience designing and maintaining data warehouses
- Experience with data orchestration tools (Airflow, Luigi, Dagster, etc.)
- Experience with ETL tools and version control (DBT, Fivetran, etc.)
- Experience working with consumer data at scale
- Experience building a developer tool (it can be personal dev)
- Proficiency in Python
Benefits & Perks
-
- High autonomy and flexible work hours
- Unlimited PTO (2 weeks minimum required)
- 401k matching
- Competitive salary & equity
- Commuter benefits
- Health, dental, and vision insurance
- Generous parental leave
- Regular offsites and Hackathons!
- Expensed lunch
- Your choice of new equipment and software
- Learning & development stipend
- Monthly health & wellness stipend
Ready to build the world’s largest developer platform?