Principal Data Engineer - EDL Pipelines & AI Solutions Location: Westlake, TX (2 weeks onsite per month) Interview Process: 2 rounds Job Overview: We are seeking a highly motivated Principal Data Engineer to join our Workplace Investing Data Engineering and Exchange AI Delivery Chapter team. In this role, you will develop and manage EDL pipelines to support AI-driven solutions for healthcare applications, focusing on delivering personalized insights at the time of enrollment. If you have a passion for data, experience in building scalable cloud solutions, and want to work in an innovative AI space, this is a great opportunity to make an impact. Key Responsibilities: • Design and develop robust EDL (Enterprise Data Lake) pipelines using cloud technologies. • Manage and optimize data workflows with AWS (Lambda, S3, SageMaker) and Snowflake. • Collaborate with team members to analyze, prep, and deliver insights from complex healthcare data. • Work closely with offshore teams to deliver technical solutions on time and in line with project goals. • Ensure all technical deliverables are well-documented and contribute to AI project delivery and efficiency. Required Skills: • Strong cloud expertise with AWS (Lambda, S3, SageMaker). • Proficient in building data pipelines using Snowflake and working with databases like PostgreSQL and DynamoDB. • Experience developing and managing EDL pipelines for large data sets. • Deep understanding of data lineage and workflow optimization. • Strong SQL skills with experience in data analysis and reporting. • Hands-on experience with AWS and cloud technologies in an enterprise data environment. Nice to Have: • Experience creating Views and implementing RBAC (Role-Based Access Control). • Familiarity with healthcare industry data and related regulations.