About the Role
The role involves building and optimizing analytics infrastructure, ensuring data accuracy, and enabling scalable reporting for internal stakeholders.
Responsibilities
- Develop and manage data pipelines for reliable information flow
- Design scalable data models to support business intelligence needs
- Maintain data warehouse architecture and ensure performance
- Collaborate with cross-functional teams to define key metrics
- Implement data validation processes to ensure accuracy
- Create dashboards and reports for operational insights
- Troubleshoot data discrepancies and resolve issues promptly
- Optimize SQL queries and analytical workflows
- Support data governance and documentation standards
- Translate business requirements into technical data solutions
- Monitor pipeline health and system reliability
- Improve data accessibility for non-technical users
- Work with product teams to track feature performance
- Ensure compliance with data privacy practices
- Refactor legacy analytics code for efficiency
- Use version control for data transformation logic
- Participate in code reviews for data models
- Integrate third-party data sources when needed
- Assist in defining KPIs for company objectives
- Contribute to data strategy and long-term planning
Nice to Have
- Prior experience in health tech startups
- Exposure to machine learning operations
- Familiarity with cloud platforms like AWS or GCP
- Use of CI/CD in data workflows
- Contributions to open-source data projects
Benefits
- Competitive salary with equity participation
- Flexible work hours and full remote access
- Health insurance coverage
- Retirement savings plan options
- Professional development support
- Paid time off and holidays
Compensation
$60,000 - $90,000 per year including equity
Work Arrangement
Remote
Team
Small, fast-moving team focused on healthcare innovation
Equity & Compensation
Compensation includes a base salary and equity stake in the company, aligning long-term incentives with organizational growth.
Work Environment
Fully remote role with asynchronous collaboration. Team members are distributed across time zones and encouraged to maintain sustainable work rhythms.
Growth Opportunities
Engineers are expected to grow with the company, taking ownership of key data domains and influencing product direction through insights.
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