Job Title: Data Lakehouse Engineer (AWS + Python + DevOps) Location: Dallas, TX - 1 week onsite every quarter Type: Long Term Contract Note: Looking for independent visa holders Job Summary: We are seeking a highly skilled Data Lakehouse Engineer to join our team and help solve critical business and technology challenges. You will play a key role in building and maintaining a scalable Data Lakehouse solution to ensure the right data reaches the right users at the right time — empowering both business and technical teams with trusted, governed data. Key Responsibilities • Design and implement a modern Data Lakehouse architecture using AWS native services. • Develop and maintain ETL pipelines using AWS Glue, Lambda, Step Functions, and Python. • Configure and manage AWS Lake Formation for secure, governed access to data in S3. • Integrate and optimize data workflows using PySpark and serverless technologies. • Build and deploy infrastructure as code using CloudFormation, Terraform, Stacker, and the Serverless Framework. • Collaborate with DevOps teams using GitLab for version control and CI/CD pipelines. • Work with IAM for access control and DynamoDB for data storage requirements. Technical Skills Required Cloud & Data Engineering (AWS): • AWS Lake Formation • S3 • AWS Glue (Crawler, Catalog, Registry, Glue Jobs) • AWS Step Functions • AWS Lambda • AWS IAM • DynamoDB Programming & Data Processing: • Python (AWS-specific development) • PySpark DevOps & Infrastructure as Code: • GitLab (CI/CD) • Serverless Framework • Stacker • CloudFormation • Terraform Preferred Qualifications • Proven experience in building data lakehouse or lake-based data platforms on AWS. • Strong knowledge of data governance and access management using AWS Lake Formation. • Hands-on experience with real-time and batch data processing. • Familiarity with best practices in cloud security, DevOps, and CI/CD pipelines. • Excellent problem-solving, communication, and collaboration skills.