About the Role
The position involves developing robust data pipelines, ensuring data accuracy, and enabling insights across the platform through modern data engineering practices.
Responsibilities
- Design and implement scalable data pipelines for ingestion and transformation
- Optimize data storage and retrieval across distributed systems
- Ensure data quality and integrity through monitoring and validation
- Collaborate with data scientists and analysts to support modeling needs
- Maintain and improve existing ETL workflows
- Work with cloud-based data platforms and services
- Support the integration of third-party data sources
- Develop documentation for data architecture and processes
- Troubleshoot and resolve data-related issues
- Contribute to system reliability and performance improvements
- Participate in code reviews and technical design discussions
- Implement data security and access controls
- Assist in defining data standards and best practices
- Scale infrastructure to meet growing data demands
- Use version control for data pipeline management
- Integrate machine learning outputs into production systems
- Monitor pipeline health and set up alerting mechanisms
- Support compliance with data governance policies
- Collaborate across engineering and product teams
- Evaluate and adopt new data technologies when beneficial
- Ensure efficient data modeling for analytics use cases
- Drive automation in data operations
- Maintain metadata and data lineage tracking
- Contribute to disaster recovery and backup strategies
- Support real-time data processing where required
Nice to Have
- Master’s degree in a technical field
- Experience in the research or nonprofit sector
- Contributions to open-source data projects
- Familiarity with grant lifecycle data
- Experience with data observability tools
Compensation
Competitive salary and equity package
Work Arrangement
Remote-friendly with flexible hours
Team
Collaborative engineering team focused on data infrastructure
About Us
- Our platform helps researchers and institutions discover funding opportunities and manage grant workflows efficiently.
- We combine data, automation, and user experience to streamline the grant lifecycle.
Impact
- Engineers directly influence how organizations secure funding for scientific and social impact projects.
- Data systems enable personalized recommendations and actionable insights for users.
Available for qualified candidates
