About the Role
The role involves building and optimizing data pipelines that integrate with product features, enabling data-driven decision-making across teams. The engineer will work closely with product managers, data scientists, and software developers to ensure data infrastructure supports evolving business needs.
Responsibilities
- Design and implement robust data pipelines for product analytics
- Ensure data consistency and integrity across systems
- Collaborate with product teams to define data requirements
- Optimize data storage and retrieval for performance
- Maintain documentation for data models and workflows
- Troubleshoot and resolve data quality issues
- Support integration of new data sources into existing infrastructure
- Monitor pipeline reliability and implement alerting mechanisms
- Improve data accessibility for non-technical stakeholders
- Participate in code reviews and system design discussions
- Develop ETL processes for structured and semi-structured data
- Work with streaming and batch data processing systems
- Ensure compliance with data governance policies
- Contribute to schema design and database optimization
- Support A/B testing frameworks with reliable data delivery
- Automate routine data operations and validation checks
- Collaborate on data modeling for new product features
- Evaluate and integrate new data tools and technologies
- Assist in capacity planning for data growth
- Ensure efficient data flow between microservices
- Maintain metadata management practices
- Support audit requirements with traceable data lineage
- Implement data versioning where applicable
- Promote best practices in data engineering across teams
- Respond to ad hoc data requests from business units
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible scheduling
Team
Collaborative product development environment
Technology Stack
- Uses modern cloud infrastructure with managed data services
- Relies on container orchestration for scalable deployments
- Implements data pipelines using open-source and managed tools
- Employs automated testing for data integrity validation
- Leverages infrastructure-as-code for environment consistency
Growth Opportunities
- Engineers lead initiatives that impact product direction
- Opportunities to contribute to architectural decisions
- Access to training and conference participation
- Pathways for technical and leadership advancement
- Regular feedback cycles with senior leadership
Available for qualified candidates
