Artificial Intelligence Data Engineer II

The Artificial Intelligence Data Engineer II designs, develops, and manages scalable data pipelines and feature stores that enable AI/Machine Learning (ML) model training and deployment across the enterprise.

Requirements

• Design and implement scalable data pipelines for AI/ML workloads.
• Develop and deploy AI/ML solutions using Python, Snowpark, or cloud-native ML services.
• Build and manage feature stores to support model training and inference.
• Integrate structured and unstructured data sources from internal and external systems.
• Collaborate with data scientists to understand data requirements and optimize pipelines.
• Implement data quality checks, metadata tagging, and lineage tracking.
• Ensure compliance with Health Insurance Portability and Accountability Act (HIPAA), Centers for Medicare and Medicaid Services (CMS), and enterprise data governance standards.
• Automate data ingestion and transformation using tools like AWS Glue, Snowflake, and Informatica Data Management Cloud (IDMC).
• Implement DevOps/MLOps and Continuous Integration (CI)/Continuous Delivery (CD) pipelines using git actions or similar tools.
• Monitor pipeline performance and troubleshoot issues in production environments.
• Contribute to backlog grooming and sprint planning for AI data initiatives.
• Perform other duties as assigned.

Benefits

• Paid Time Off (PTO)
• Tuition Reimbursement
• Retirement Plans
• Medical, Dental and Vision
• Wellness Program
• Volunteer Time Off (VTO)