About the Role
The role involves designing and building high-performance data platforms to extract insights from large-scale user interactions, supporting product and business decisions with reliable, real-time analytics.
Responsibilities
- Design and implement robust data processing pipelines
- Develop scalable backend services for audience analytics
- Collaborate with data scientists to integrate machine learning models
- Optimize data storage and query performance across distributed systems
- Ensure data accuracy and consistency across platforms
- Work closely with product teams to define intelligence requirements
- Maintain and improve existing data infrastructure
- Troubleshoot production issues and ensure system reliability
- Write clean, maintainable, and well-tested code
- Participate in code reviews and technical design discussions
- Contribute to architectural decisions for data platforms
- Monitor system performance and implement improvements
- Support compliance with data privacy standards
- Document technical designs and system workflows
- Mentor junior engineers and promote best practices
- Evaluate new technologies for data processing needs
- Integrate third-party data sources securely
- Build APIs for internal and external data access
- Improve data lineage and observability
- Drive automation in deployment and testing processes
- Ensure high availability of critical data services
- Collaborate on incident response and post-mortems
- Balance technical debt with feature development
- Support data governance initiatives
- Participate in agile ceremonies and planning
Nice to Have
- Master's degree in Computer Science or related field
- Experience in audience segmentation or personalization systems
- Background in e-commerce or ticketing platforms
- Knowledge of real-time analytics platforms
- Familiarity with data mesh or data fabric concepts
- Experience with GraphQL or gRPC
- Exposure to machine learning operations
- Contributions to open-source data projects
- Understanding of A/B testing infrastructure
- Experience with data visualization tools
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Collaborative engineering team focused on data-driven solutions
What We Offer
- Comprehensive health and wellness benefits
- Flexible work schedule options
- Professional development and learning stipend
- Employee assistance and mental health resources
- Inclusive culture with employee resource groups
About the Team
- Focused on unlocking insights from user behavior data
- Works at the intersection of data engineering and product intelligence
- Builds systems that power personalization and recommendations
- Operates with high autonomy and technical ownership
- Values innovation, collaboration, and measurable impact
Available for qualified candidates
