About the Role
The role involves building and optimizing data systems that power data products, ensuring high data quality, and collaborating with teams to deliver robust data solutions.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Optimize data storage and retrieval systems for performance
- Ensure data accuracy, consistency, and reliability across platforms
- Collaborate with data scientists and analysts on data needs
- Maintain and improve existing data infrastructure
- Monitor data workflows for errors and inefficiencies
- Support data governance and compliance standards
- Develop ETL processes with modern data tools
- Troubleshoot data issues across multiple systems
- Contribute to architectural decisions for data platforms
Nice to Have
- Master’s degree in a technical discipline
- Experience with real-time data processing
- Background in data privacy or security practices
- Contributions to open-source data projects
- Familiarity with containerization and orchestration tools
Benefits
- Health, dental, and vision insurance
- Retirement savings plan with company contribution
- Flexible paid time off policy
- Remote work support and stipends
- Professional development opportunities
Compensation
Competitive salary and equity package
Work Arrangement
Remote-friendly with team coordination across time zones
Team
Collaborative data infrastructure team focused on scalable systems
Our Data Philosophy
We believe in open, accessible people data that respects privacy and enables innovation. Our platform is built on ethical data practices and transparency.
Engineering Culture
We value clear documentation, code reviews, and iterative development. Engineers are encouraged to propose solutions and lead technical initiatives.
Available for qualified candidates
