Senior Data Engineer - Healthcare Data & Audience Applications
Core
Build reliable, scalable data pipelines and data products for healthcare verticals to support audience discovery, segmentation, activation, and measurement.
Role type
Senior hands-on IC data engineer
Builds
Production-grade data pipelines, data models, and data products for healthcare, identity, and audience applications
Domain
Healthcare data & AdTech/MarTech
Deliverable
production ML models | product features
Required skills
Python, SQL, AWS (S3, EMR), Snowflake, Apache Airflow, data modeling, batch processing, CI/CD, HIPAA/PHI/PII compliance
Preferred skills
Healthcare data providers, identity ecosystems, tokenization, clean rooms, data cataloging, lineage, observability, Docker, Kubernetes/EKS, infrastructure as code
Technologies
Python, SQL, Apache Airflow, Amazon S3, Amazon EMR, Snowflake, Hive, Athena
Responsibilities
Design, develop, test, deploy, and operate production-grade pipelines for healthcare and audience data; Implement maintainable data models and governed views; Build Airflow workflows with data-quality checks and operational runbooks; Write efficient SQL across Snowflake, Hive, and Athena; Partner with product and data science teams to translate requirements into technical solutions; Implement data-quality controls, monitoring, and incident-response practices; Support data onboarding and integration for healthcare partners; Apply privacy-by-design practices for PHI/PII; Collaborate on technical designs, code reviews, and mentor less-experienced engineers; Troubleshoot production issues and improve pipeline performance
Seniority
Senior, hands-on IC