About the Role
The role involves building and maintaining robust data infrastructure, improving data pipelines, and enabling data-driven decision-making across the organization through close collaboration with stakeholders.
Responsibilities
- Design and implement scalable data storage and processing systems
- Develop and maintain ETL pipelines for reliable data ingestion
- Optimize data workflows for performance and efficiency
- Collaborate with data scientists and analysts to understand requirements
- Ensure data accuracy, consistency, and accessibility
- Support the evolution of data architecture to meet growing needs
- Troubleshoot and resolve issues in production data systems
- Write clean, maintainable, and well-documented code
- Evaluate and integrate new data technologies and tools
- Work closely with engineering teams to align on data standards
- Monitor data pipeline health and implement alerting mechanisms
- Contribute to system reliability and uptime improvements
- Participate in code and design reviews
- Help define best practices for data engineering
- Support compliance with data governance policies
- Scale infrastructure to handle increasing data volume and velocity
- Improve data lineage and metadata tracking
- Ensure efficient data access patterns across services
- Collaborate on real-time data processing initiatives
- Drive automation in data operations and testing
Nice to Have
- Master’s degree in a technical field
- Experience in high-scale data environments
- Contributions to open-source data projects
- Exposure to machine learning workflows
- Familiarity with data warehousing solutions like BigQuery or Snowflake
- Experience with data observability tools
- Knowledge of regulatory frameworks affecting data use
- Leadership in technical project planning
- Track record of improving system efficiency
- Experience mentoring engineers in data best practices
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid
Team
Collaborative, cross-functional engineering and data science teams
What We Value
- Technical excellence paired with practical problem-solving
- Ownership of projects from design to deployment
- Clear communication across technical and non-technical stakeholders
- Curiosity and initiative in identifying system improvements
- Commitment to building inclusive and maintainable systems
Impact
- Your work will directly influence how data is accessed and used across the company
- You’ll help shape the foundation for future data products and analytics capabilities
Available
