Responsible for building data models, developing ELT pipelines, implementing data quality checks, and utilizing best practices in data engineering and healthcare analytics.

Design, build, and optimize ETL pipelines and data infrastructure on AWS (EMR, S3, DynamoDB). Collaborate with data science on entity resolution and data products, implement orchestration with Airflow, write/tests PySpark jobs, ensure data quality/governance, and produce analytics and documentation.

The Software Engineer will develop and optimize data collection, integrate with cloud infrastructure, and collaborate on data pipeline advancements for AI models.