About the Role
The position involves building and maintaining data infrastructure to support analytics across a distributed organization, focusing on reliability, clarity, and scalability of data systems.
Responsibilities
- Develop and manage scalable data pipelines
- Design and implement data models for analytics use
- Ensure data accuracy and consistency across systems
- Optimize query performance for reporting tools
- Collaborate with stakeholders to define metrics
- Maintain documentation for data assets
- Monitor data pipeline health and resolve issues
- Support business intelligence tooling
- Integrate data from multiple sources
- Enforce data governance standards
- Build automated testing for data workflows
- Troubleshoot data discrepancies
- Improve data accessibility for non-technical users
- Evaluate new data technologies
- Contribute to data architecture planning
- Assist in defining data quality metrics
- Streamline ETL processes
- Support analytics dashboards
- Work with version-controlled data code
- Participate in code reviews
- Ensure compliance with data policies
- Respond to ad hoc data requests
- Scale infrastructure for growing data needs
- Coordinate with engineering and product teams
- Promote data best practices across departments
Nice to Have
- Experience with specific cloud providers
- Background in blockchain or decentralized systems
- Familiarity with data orchestration tools
- Knowledge of machine learning pipelines
- Experience in high-growth environments
- Contributions to open-source data projects
- Advanced degree in a technical field
- Public portfolio of data work
- Speaking or writing in technical communities
- Experience with real-time data processing
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Fully remote with flexible hours
Team
Collaborative data team working across decentralized projects
Technology Stack
- Uses modern cloud data platforms and open-source tools
- Relies on automated data pipelines and monitoring systems
Culture
- Values transparency, ownership, and continuous learning
- Operates with a global, asynchronous team structure
Growth Opportunities
- Pathways to lead data initiatives
- Support for professional development and conferences
Available for qualified candidates
