Data Engineer (AWS Redshift, Glue) :: Remote with Travel

Position: Lead Data Architect( AWS Redshift, Glue) Remote Contract-To-Hire Skills: Tech Stack: AWS Redshift, Glue, S3, Lambda, Step Functions, Python, SQLStrong AWS hands-on mandatoryExp: 12+ yrs data engineering with deep AWS stack experienceBonus: Python

We are seeking an experienced AWS Data Engineer to join a high-impact project supporting US-based operations. This role requires strong expertise in cloud data engineering, distributed systems, and large-scale data processing. The ideal candidate must be a and eligible to obtain and maintain a security clearance. Key ResponsibilitiesDesign, build, and maintain scalable data pipelines on AWSDevelop and optimize ETL/ELT workflows for large datasetsWork with distributed data processing frameworks

Role: AWS Data Engineer Location: 100% Remote Role Summary: The Data Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions. Key Responsibilities: Data Pipelines: Develop configuration-driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift. Automation: Implement CI/CD pipelin

We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data platforms on AWS. The ideal candidate is hands-on, cloud-native, and strong in Python, SQL, PySpark, AWS Glue, and Terraform, with experience building production-grade data pipelines. Responsibilities:Design, develop, and maintain scalable data pipelines using AWS services Build and optimize ETL/ELT pipelines using PySpark and AWS Glue Develop clean, efficient, and reusable code using Python Write and