About this role

Build, refactor, and maintain pipeline components of data products for a cloud environment
Analyze large and complex datasets for quality, accuracy, anomalies, and performance
Own pre-UAT testing for every change using the standard ABC framework
Consultatively interface with analysts and stakeholders on new data requests, enhancements, recommendations, quality, and awareness items
Participate in modeling star-schema data marts, denormalized performant layers, presentation layers, and Data Vault (or other immutable storage)
Create and maintain project-specific reference architecture diagrams and engineering-oriented documentation

3+ years in database technologies and data engineering experience
3+ years of modeling, building, and testing data products experience
2+ years in cloud data infrastructure with a SaaS delivery model
Strong SQL and Python skills
Knowledge of data ingestion using unstructured, semi-structured, and structured data
Familiar with source code versioning tools such as Git
Bachelor’s Degree in Computer Science, Software Engineering, Healthcare Informatics or related studies; or 7 years of relevant experience in lieu of degree.

Data Engineer II

Key skills