About the Role
Design, build, and optimize data pipelines and infrastructure to support analytics and product needs across the organization.
Responsibilities
- Develop and maintain scalable data processing systems
- Design robust data models for analytics and reporting
- Ensure data accuracy, consistency, and reliability across platforms
- Collaborate with analytics and product teams to understand data needs
- Implement data governance and quality assurance practices
- Optimize data workflows for performance and efficiency
- Support the integration of new data sources into existing pipelines
- Monitor data pipeline health and troubleshoot issues
- Work with cloud-based data platforms and services
- Improve data accessibility for non-technical stakeholders
- Contribute to architectural decisions for data infrastructure
- Document data systems and processes clearly
- Evaluate and adopt new data technologies when appropriate
- Ensure compliance with data privacy and security standards
- Participate in code reviews and technical planning sessions
- Mentor junior engineers on data best practices
- Drive automation of repetitive data tasks
- Support data warehouse operations and maintenance
- Integrate machine learning outputs into production systems
- Collaborate on cross-functional initiatives involving data
- Maintain high standards for data observability
- Scale infrastructure to meet growing data demands
- Refactor legacy data systems for improved performance
- Assist in defining team engineering standards
- Promote a culture of data reliability and ownership
Compensation
Competitive salary with comprehensive benefits package
Work Arrangement
Hybrid work model with flexible remote and in-office options
Team
Collaborative engineering team focused on scalable data solutions
Why This Role Matters
- This position plays a key role in shaping how data is collected, processed, and used across the company.
- Engineers in this role directly influence product decisions through reliable data infrastructure.
What We Value
- Ownership of data systems from design to production support.
- Clear communication when solving complex technical challenges.
Available for qualified candidates
