Staff Data Engineer

The role

You will build data pipelines, data models, and AI infrastructure to process real-world patient and research data. You will own the data layer, architecture, and data quality to support analytics and ML workflows.

What you will do

• Own the data layer and architecture including models, schemas, and infrastructure decisions
• Build and operate pipelines and transformations from ingestion through to production model serving
• Own data quality and observability by building systems to make data issues visible and correctable
• Partner with ML and engineering teams to define training data requirements and build data foundations
• Define how clinical and operational data is governed across the system
• Evaluate and select tools and technologies for the data stack
• Help shape the engineering culture of a small, growing team

Required qualifications

• 10+ years of experience in data engineering or related roles
• 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)
• 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
• Naturally raise the quality of the engineering around you through code review, design guidance, and honest technical conversation

Nice to have

• Experience with healthcare data (HL7, FHIR, claims, EHR extracts) or other complex, regulated data domains
• Experience building data infrastructure that directly supports ML model training and evaluation
• Familiarity with clinical trial operations, EDC systems, or life sciences data
• SOC 2, HIPAA or similar compliance experience baked into engineering practice
• A track record of building or improving data systems that others had given up on making reliable

About the company

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The company is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide.