AWS Cloud Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS Cloud Data Engineer based in the United States.

This is an exciting opportunity for a cloud and data engineering professional to design and build scalable AWS-based data solutions that drive business intelligence and operational excellence. In this role, you will play a key part in developing robust data pipelines, modernizing cloud infrastructure, and enabling data-driven decision-making across multiple products and teams. Working in a collaborative and fast-paced environment, you will combine expertise in cloud technologies, data architecture, and DevOps practices to create secure, high-performing solutions. The position offers broad exposure to modern AWS services, infrastructure automation, and enterprise-scale analytics initiatives, while providing opportunities to influence technical strategy and establish best practices across the organization.

• Serve as a shared technical resource across product teams, providing expertise in data integration, data modeling, analytics, and cloud infrastructure design.
• Design, develop, and maintain scalable data pipelines using AWS technologies such as AWS Glue, Amazon Kinesis, and related services.
• Build and manage cloud-native data storage solutions utilizing Amazon S3, Redshift, RDS, DynamoDB, and other AWS-managed databases.
• Develop and maintain Infrastructure-as-Code (IaC) frameworks using tools such as AWS CloudFormation or AWS CDK to support scalable and repeatable deployments.
• Design and implement CI/CD pipelines that automate application builds, testing, code quality checks, and deployment processes.
• Deploy, monitor, and optimize AWS infrastructure resources to ensure performance, reliability, and scalability across products and environments.
• Implement centralized logging, monitoring, and observability solutions to provide real-time visibility and facilitate troubleshooting.
• Optimize ETL workflows and data processing frameworks to efficiently manage large and diverse datasets.
• Establish and maintain secure AWS environments through IAM policies, role management, and adherence to security best practices.
• Create technical documentation and deliver knowledge-sharing initiatives to support user adoption and operational excellence.
• Evaluate emerging AWS technologies and recommend improvements to continuously enhance the organization's cloud and data ecosystem.
• Ensure all solutions comply with security standards and industry best practices, including OWASP Top 10, CWE Top 25, and CIS AWS Foundations Benchmark guidelines.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Economics, or a related technical field, or equivalent professional experience.
• Minimum of 5 years of relevant experience in data engineering, cloud engineering, or related technical disciplines.
• Proven experience designing and implementing large-scale data projects and cloud-based data architectures.
• Strong expertise with AWS services including AWS Glue, Kinesis, S3, Redshift, RDS, DynamoDB, IAM, and related cloud technologies.
• Hands-on experience with Infrastructure-as-Code tools such as AWS CloudFormation or AWS CDK.
• Solid understanding of CI/CD practices, DevOps methodologies, and automated testing frameworks.
• Experience developing and optimizing ETL processes and managing data integration across multiple systems.
• Strong analytical and problem-solving skills with the ability to translate technical requirements into scalable solutions.
• Excellent written and verbal communication skills, including technical documentation and stakeholder engagement.
• Demonstrated ability to collaborate effectively with cross-functional teams and manage multiple priorities in fast-paced environments.
• Self-motivated and capable of working independently while maintaining high standards of quality and accountability.
• Knowledge of cloud security principles and experience implementing secure architectures and governance frameworks.
• Ability to pass background investigations and maintain compliance with organizational requirements.

Benefits

• Opportunity to work on innovative, cloud-first data initiatives with significant business impact.
• Exposure to modern AWS technologies, enterprise-scale analytics environments, and advanced cloud engineering practices.
• Collaborative and technology-driven culture that encourages innovation, continuous learning, and professional growth.
• Opportunities to influence technical strategy and establish engineering best practices across multiple product teams.
• Career development opportunities through exposure to diverse projects and emerging cloud technologies.
• Competitive compensation package aligned with experience and expertise.
• Comprehensive employee benefits package, including healthcare and additional wellness programs in accordance with company policies.
• Stable and supportive work environment with strong emphasis on teamwork, customer success, and technical excellence.