Health Research Data Engineer

Quick Facts

• Role: Health Research Data Engineer

Description

Design and build production-grade data models and scalable data processing pipelines for complex health research data. Transform large volumes of health data into reliable, well-documented analytical datasets that support current and future analytical questions. Partner with cross-functional teams to define data quality expectations and implement monitoring for new data streams.

Responsibilities

• Design, develop, and maintain clean, production-grade data models and transformation pipelines
• Use Spark to structure large volumes of data into tables for analysis and issue investigation
• Develop frameworks and tools for data parsing, processing, and quality
• Participate in architecture and code reviews
• Maintain a focus on performance, usability, and quality
• Communicate ideas and champion best practices with the team and cross-functional partners
• Work with subject matter experts to define data quality expectations for new data streams
• Implement data quality metrics and monitoring to ensure expectations are consistently met

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field, or equivalent work experience
• Strong programming skills in at least one of Scala, Java, or Python
• Proficiency in SQL
• Solid understanding of fundamental computer science concepts
• Strong problem solver with meticulous attention to detail
• Highly organized, creative, motivated, and passionate about achieving results
• Excellent interpersonal skills and ability to work well with other engineers through clear communication and knowledge sharing

Benefits

• High-impact, highly autonomous role supporting applied health research and new health experiences
• Opportunity to accelerate upcoming features and contribute to applied health research with academic partners