About the Role
The role involves building and optimizing data pipelines, improving system scalability, and enabling data-driven decision-making across the organization.
Responsibilities
- Design and maintain scalable data architectures
- Develop and optimize ETL workflows
- Improve data reliability and pipeline efficiency
- Support real-time data processing needs
- Collaborate with engineering and product teams
- Identify bottlenecks in data systems
- Implement monitoring for data pipelines
- Ensure data consistency across platforms
- Contribute to database schema design
- Optimize query performance
- Integrate new data sources into existing systems
- Automate routine data operations
- Maintain documentation for data workflows
- Troubleshoot data-related issues
- Support A/B testing infrastructure
- Enhance data accessibility for analytics teams
- Work on data modeling for growth metrics
- Ensure compliance with data governance policies
- Scale infrastructure to meet growing demand
- Evaluate new data technologies and tools
Compensation
Competitive salary and performance-based incentives
Work Arrangement
Remote position with flexible hours
Team
Part of the engineering team focused on scaling data infrastructure
Why This Role Matters
- Data systems are central to understanding user behavior and driving product improvements.
- This role directly impacts how quickly the organization can test and scale new features.
What to Expect
- You will work closely with data scientists and engineers.
- Expect regular collaboration with product and analytics teams.
- You will contribute to high-impact technical decisions.
Available for qualified candidates
