Title: Senior Data Lake Engineer Location: Dallas, TX (Hybrid Onboarding) Type: Long-term Contract About the Role Southwest Airlines is seeking a Senior Data Lake Engineer to join our AI Data Deliver Team. This role focuses on architecting and building cloud-native data engineering solutions, with a strong emphasis on AWS, Python, and serverless technologies. The ideal candidate is a seasoned data engineer with 15+ years of experience in designing and implementing large-scale data pipelines and ETL solutions. Responsibilities • Architect, build, and optimize AWS-based data lake solutions (Lake Formation, S3, Glue). • Develop and maintain scalable ETL pipelines using Python and PySpark. • Implement serverless workflows with Lambda, Step Functions, and DynamoDB. • Automate CI/CD pipelines using GitLab and Infrastructure as Code (Terraform, CloudFormation). • Collaborate with cross-functional teams (AI/ML, Data, and Product) to deliver real-time analytics solutions. • Work with stakeholders to troubleshoot data-related issues and improve data reliability and quality. • Ensure security, compliance, and performance tuning of data pipelines. Required Qualifications • 15+ years of IT experience, with 7+ years in Data Engineering. • Expert-level AWS Data Lake skills (Lake Formation, S3, Glue). • Advanced Python (Lambda functions, automation) and PySpark expertise. • Strong experience with data formats (Parquet, JSON, XML, etc.) and ETL design. • Hands-on experience with CI/CD tools (GitLab) and Infrastructure as Code (Terraform). • Strong knowledge of data modeling and database design principles. • Familiarity with Agile methodologies and cloud security best practices. Preferred Qualifications • Experience with AuroraDB, Redshift, Kafka, AWS Glue Registry, and Alteryx. • Background in AI/ML pipelines or streaming data architecture. • Experience with serverless frameworks (Serverless, Stacker).