Senior AWS Cloud Data Engineer I

American Honda Motor Co., Inc. • Marysville, OH

5d • Hybrid

About The Position

The Data Engineer designs, builds, and maintains scalable data solutions to enable advanced analytics and business intelligence across Honda’s enterprise. The role develops AWS-based data pipelines and data models, supports integration with enterprise and legacy systems, implements security and governance controls, and monitors pipeline quality and performance. The position requires working onsite at Honda’s corporate office in Marysville, Ohio, at least four days per workweek. One remote workday per week may be possible with prior departmental approval.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Information Technology, Information Sciences, Electronics, or a related field, or equivalent relevant work experience.
• At least 3 years of demonstrable industry experience in data engineering or related roles.
• Proven track record delivering AWS-based data solutions and orchestration.
• Expertise designing, building, and maintaining cloud-based, data-driven solutions.
• Strong background in data architecture, data engineering, and the supply-chain domain.
• Experience with conceptual, logical, and physical data modeling, ETL optimization, query optimization, and performance tuning.
• Programming skills in Python, PySpark, and SQL.
• Experience with AWS services including Glue, EMR, EC2, Lambda, DMS, S3, Redshift, and RDS.
• Experience with Informatica CDGC/CDQ, Git, GitHub, AWS CDK, IAM, encryption policies, CloudWatch, Glue Catalog, and Athena.
• Strong integration background with DB2, UDB, SQL Server, or similar systems.
• Strong communication and collaboration skills.
• Ability to work with cross-functional teams and stakeholders.
• Ability to work onsite at the corporate office in Marysville, Ohio, at least four days per workweek; a weekly remote workday may be possible with prior departmental approval.

Responsibilities

• Design and implement ETL pipelines using AWS Glue, EMR, DMS, S3, and Redshift.
• Orchestrate workflows using AWS Step Functions, EventBridge, and Lambda.
• Integrate CI/CD pipelines with GitHub and AWS CDK for automated deployments.
• Develop conceptual, logical, and physical data models for operational and analytical systems.
• Optimize queries, normalize datasets, and apply performance-tuning techniques.
• Use Python, PySpark, and SQL for data transformation and automation.
• Implement IAM roles and encryption policies to protect data.
• Support compliance with governance standards using Informatica CDGC/CDQ.
• Monitor pipeline performance using CloudWatch and Glue job logs.
• Proactively troubleshoot and resolve data-quality and performance issues.
• Integrate ERP systems, including SAP and homegrown ERP systems, and exchange data through APIs between manufacturing, supply-chain legacy applications, and AWS pipelines.
• Manage metadata for compliance attributes and maintain audit trails and reporting for compliance verification.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior