Reveal HealthTech

Data Engineer

• Design, implement, and maintain scalable data pipelines to support growing data processing needs.
• Perform data validation and debugging to ensure high data quality and reliability.
• Design effective data models and architectures to optimize data processing and support downstream Data Science and Machine Learning workflows.
• Implement and automate data quality checks and validation processes.
• Build integrations with diverse source systems and RESTful APIs.
• Monitor and optimize performance of data pipelines and databases.
• Debug and resolve data-related issues in a timely manner.
• Document data pipeline architectures, processes, and procedures.
• Collaborate with Product Managers, Quality Assurance, and DevOps teams to deliver high-performance, reliable software solutions.
• Use AWS/Azure services, CloudFormation, and CI/CD for deployment and infrastructure automation.

Senior Data Engineer

Research Analyst

• Support Innovation Leadership: Partner with Dr. Salim Afshar to operationalize AI and technology-focused programs within a large multispecialty health system.
• AI and Technology Translation: Lead research and program initiatives to integrate AI and advanced technologies into care delivery and community health efforts, studying impact on systems and population outcomes.
• Program Operationalization: Design, execute, and manage public health programs from concept to completion, ensuring alignment with organizational goals and strategic vision.
• End-to-End Research: Manage full research lifecycle including framing studies, developing and executing surveys (SurveyMonkey/Qualtrics), analyzing data, and publishing in peer-reviewed journals.
• Data Visualization and Communication: Transform complex data into accurate, visually compelling diagrams, charts, and workflows; write articles, blogs, and formal reports.
• Cross-Institutional Collaboration: Partner with internal teams and external collaborators such as Harvard University to align research and program efforts.
• Proactive Problem-Solving: Anticipate challenges, ask critical questions, and propose solutions to drive projects forward in dynamic environments.
• Flexible hours and global collaboration: Work may require flexible hours to align with New York-based leadership and global partners.

Senior Data Engineer

Public Health Program and Research Specialist, AI and Technology Translation