Job Title: AWS Data Engineer Location: Charlotte, NC (Hybrid – Onsite 3 days/week) Employment Type: 12-Month Contract (W2 Only) Pay Rate: Up to $60/hour (W2) Start Date: ASAP Background/References: Required Interview Rounds: 2 anticipated Vaccination Requirement: None Overview TPG is hiring an experienced AWS Data Engineer to join an enterprise-level analytics and engineering team working on some of the most data-intensive systems in the energy sector. If you're passionate about building cloud-native, high-performance data pipelines using AWS, Spark, Python, and more, and want to work in a highly visible, high-impact role, this is the opportunity. This is a long-term contract supporting enterprise data strategy and digital transformation for a Fortune 150 company. You’ll collaborate with data architects, data scientists, developers, and IT leaders to design and implement next-gen data lake and analytics solutions using the latest AWS services and automation tools. What You’ll Do • Design and develop scalable data pipelines and infrastructure using AWS, Spark/PySpark, and Python • Work hands-on with big data ingestion, transformation, and orchestration workflows • Leverage services like AWS EMR, Glue, Lambda, S3, Step Functions, and DynamoDB • Support data architects and scientists with optimized data structures and pipelines for analytics, ML, and reporting • Use Terraform to automate infrastructure provisioning and PostgreSQL for relational data access • Troubleshoot, optimize, and scale cloud-based data systems across large volumes and multiple teams • Ensure best practices for cloud security, cost-efficiency, and performance are followed Required Skills • 5+ years of AWS cloud engineering and Python development experience • 3+ years of PySpark/Spark experience working on high-volume data sets • Deep hands-on experience with: • AWS Glue, Lambda, EMR, Step Functions • Terraform, S3, PostgreSQL, and DynamoDB • Strong collaboration and communication skills working across IT and data teams • Ability to work onsite in Charlotte, NC 3 days per week Nice to Have • Experience building high-performing, scalable cloud applications • Familiarity with Kubernetes and broader AWS services ecosystem • Knowledge of data modeling and analytics workflows in regulated or enterprise environments Why You Should Apply • Work with cutting-edge AWS big data tools in a large-scale environment • Join a highly visible project with executive sponsorship and long-term vision • Contribute to a top-performing data & analytics organization with meaningful outcomes • Collaborate with a forward-thinking team that's focused on automation, scale, and innovation Looking to push the boundaries of cloud-native data engineering in an enterprise setting? Apply now and join a team building the future of digital energy and analytics. #TECH #Hybrid