Key skills
CloudPythonSQLAIMLData EngineeringData LakeAnalytics
About this role
Role Overview
- Design and implement scalable, reliable data architectures (data warehouse, data lake/lakehouse, hybrid) and data models
- Drive data best practices, patterns, and governance
- Improve data pipelines, orchestration, and tooling
- Work with product, engineering, and business leaders to make data accessible for AI/ML, analytics
- Guide and mentor other data engineers; contribute to hiring, leveling, and technical development of the data engineering function.
Requirements
- 8+ years of experience in data engineering or related roles
- Strong grasp of concepts and methods for capturing, transforming, testing, and storing data assets in a cloud-native environment
- Experience solving complex data problems using SQL and Python
- Experience designing and evolving data models
- Prior experience in healthcare or FinTech, and familiarity with HIPAA, PHI, or financial data compliance and security practices, is a plus.
Tech Stack
- Cloud
- Python
- SQL
Benefits
- Competitive pay, benefits and stock options.