Data Engineer III

What you'll do

• Design and deliver secure, stable, and scalable data collection, storage, and analytics solutions.
• Develop, test, and maintain critical data pipelines and architectures across multiple business functions.
• Use enterprise-authorized AI capabilities to accelerate data pipeline design, analysis, and documentation.
• Update logical or physical data models based on new business use cases.
• Perform custom configuration changes in tools to generate products at customer request.
• Apply reuse-first and AI-assisted practices to strengthen SDLC quality routines for data pipelines.
• Validate AI-assisted outputs such as query suggestions and test ideas before implementation.
• Conduct statistical data analysis to determine appropriate tools and patterns for reporting.

What we're looking for

• Formal training or certification on data engineering concepts and 3+ years of applied experience.
• Solid working experience with Python and Databricks.
• Experience across the full data lifecycle.
• Advanced proficiency in SQL, including joins and aggregations.
• Working understanding of NoSQL databases.
• Significant experience with statistical data analysis and determining appropriate tools and patterns.
• Experience customizing tool configurations to generate products for business or customer requests.
• AI/ML certifications (required) and AWS certifications (required).