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# Sr. Cloud Data Engineer (AWS)

- **Company:** Insight Global
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Architectural Patterns, ARM Architecture, Mobile Application Development, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Computer Programming, Databases, Information Engineering, Data Infrastructure, Data Integration, Data Migration, Data Security, Data Warehousing, Decision Support Systems, Linux, Github, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Object-Oriented Software Development, Windows PowerShell, Redis, Cloud Services, SQL Databases, TypeScript, Enterprise Data Management, Scripting, Enterprise Software Applications, Cloud Platform System, Cloud Monitoring, Delivery Pipeline, Snowflake, State Machines, Software Troubleshooting, Electronic Medical Records, Amazon Virtual Private Cloud (VPC), Cloudformation, Amazon Relational Database Service, Containerization, AWS Aurora, Kubernetes, Information Technology, Deployment Automation, AWS Fargate, Apache Kafka, Data Management, Machine Learning Operations, Functional Programming, Data Delivery, Cloud Optimization, Terraform, Data Pipelines, Serverless Computing, Docker, Jenkins, Amazon Redshift, Web Api, Golang
- **Published:** October 3, 2026
- **Apply:** https://dejobs.org/x/x/B2D0307668A34742A7B5BB7EA87F2CBC/job/

## About the Role

* * Very Strong experience using Snowflake native pipelines, Snowflake native app including Streamlet, Python based Container services. * Experience using AI, including Snowflake Cortex AI capabilities. * Good knowledge in application and backend API development using object-oriented programming (Python, Java, Go, TypeScript/JavaScript). * 6+ years of experience in data engineering, platform engineering, business intelligence, analytics, or related technical disciplines. * 4+ years of hands-on AWS cloud engineering experience, including architecture, implementation, administration, and best practices. * Strong expertise with AWS services including S3, EC2, RDS, Lambda, CloudFormation, Kinesis, EMR, Step Functions, VPC, IAM, Security Groups, and Data Pipelines. * Experience designing and building enterprise-scale cloud data platforms and analytical solutions. * Experience with modern data warehousing technologies such as Snowflake, Amazon Redshift, or similar platforms. * Strong
database and programming experience with SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis. * Experience designing, building, and maintaining scalable, reliable, and secure data pipelines and data platforms. * Experience implementing data migration solutions, data delivery frameworks, and machine learning pipelines. * Strong knowledge of IAM roles, policies, cloud security, and access management. * Experience with CI/CD pipelines, infrastructure as code, and deployment automation using tools such as GitHub Actions, Jenkins, AWS CodePipeline, Terraform, and CloudFormation. * Experience configuring cloud monitoring, alerting, and operational support for AWS environments. * Strong scripting skills using Python and/or PowerShell. * Understanding of enterprise application architecture, security requirements, and cloud-native best practices. * Experience with large-scale streaming platforms such as Kafka. * Experience with Kubernetes, Docker, AWS Fargate, or other
containerization technologies. * Experience supporting both Windows and Linux-based application environments. * Experience with cloud networking, security groups, policy management, and multi-OS cloud infrastructure. * Experience planning and executing on-premises to AWS cloud migrations. * Advanced degree in Computer Science, Engineering, or a related field. * Experience working in highly dynamic, ambiguous, and rapidly evolving enterprise environments. * Passion for emerging technologies, cloud innovation, and continuous learning. * Local to Chicago, happy to come in 2-3 days per week

## Description

A leading global hotel company is seeking a Senior Cloud Data Engineer to join its growing Data Platform Architecture team. This individual will help design and build enterprise-scale cloud data solutions that support analytics, automation, and data-driven decision making across the organization. The ideal candidate is a highly motivated AWS expert who is passionate about innovation, problem-solving, and delivering exceptional user experiences. * Partner with data engineering, data science, and product teams to deliver enterprise data platform capabilities for a leading global hotel company. * Design, develop, and implement enterprise data solutions aligned with architecture standards and strategic technology objectives. * Build and enhance cloud-based data platforms that support analytics, reporting, and machine learning initiatives. * Develop scalable, resilient, high-performing, and secure data infrastructure and applications within AWS. * Implement and optimize data migration,
data integration, and machine learning pipelines. * Establish and maintain IAM roles, policies, and security controls across cloud environments. * Automate deployment processes for AWS services, data applications, and BI platforms. * Evaluate emerging technologies and recommend cloud solutions, architecture patterns, and tools that improve platform capabilities. * Collaborate with architecture, engineering, and migration teams to define cloud strategy and technology roadmaps. * Prototype and implement new technologies related to automation, scripting, containerization, and cloud-native services. * Support project planning, solution implementation, and ongoing operational improvements across multiple initiatives. * Provide technical leadership and architectural guidance to ensure solutions align with enterprise target-state architecture. * Troubleshoot complex technical issues and drive continuous improvement of platform reliability, performance, and scalability. * Build strong
relationships with stakeholders and serve as a trusted advisor for cloud data platform solutions


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