Staff Data Engineer

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. As a Staff Data Engineer, you will build the pipelines, data models, and AI infrastructure that make real-world patient and research data flowing across 80+ trial sites a valuable asset. You'll own data quality and observability as foundational engineering problems, shape the engineering culture of a small, growing team, and have a direct hand in shaping how this data drives our AI strategy.

Requirements

• 10+ years of experience in data engineering or related roles, with significant time spent building data systems
• Experience with healthcare data strongly preferred (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Deep experience modeling and integrating data from multiple heterogeneous sources with inconsistent schemas and quality
• Experience applying AI and LLMs to data engineering problems: extraction, normalization, classification, entity resolution
• Strong understanding of how data infrastructure supports ML workflows from feature engineering to training data pipelines to model serving
• Fluent in SQL and at least one modern programming language (Python, Java, Scala, Go), with experience across modern data infrastructure - distributed processing, streaming, cloud-native storage, orchestration, and transformation frameworks
• Have built data systems from early stages, making foundational decisions with incomplete information

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Tuition Reimbursement