Key skills
AWSAzureBigQueryCloudJavaScriptPythonSQLAIMLData EngineeringData WarehousingAnalyticsSnowflakeGoogle CloudRemote Work
About this role
Role Overview
- Lead the design of scalable data solutions
- Mentor talented engineers
- Work on projects that truly make an impact
- Build and optimize data pipelines that power forecasting and analytics platforms
- Collaborate with product managers, front-end and back-end developers, and fellow data engineers
- Ensure adherence to architectural standards
- Coach junior team members
- Maintain consistent coding standards across global engineering pods
Requirements
- Bachelor’s degree in Computer Science or related field
- 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role
- Proficiency in Python and SQL
- Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable
- Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies
- Ability to communicate complex technical concepts clearly to peers and stakeholders
- Experience with JavaScript (legacy code support) preferred
- Familiarity with Snowflake or other modern data platforms preferred
- Exposure to AI/ML concepts and interest in applying them to data engineering preferred
- Healthcare industry experience is a plus
Tech Stack
- AWS
- Azure
- BigQuery
- Cloud
- JavaScript
- Python
- SQL
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Remote work options