Senior AWS Cloud Data Engineer | ETL & Analytics

American Honda Motor Company, Inc.; Marysville (OH); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Onsite at Marysville, OH HQ

Hybrid option: 1 remote day per week

Job summary

American Honda Motor Company, Inc. seeks a Data Engineer to design, build, and maintain scalable data solutions powering analytics and BI across Honda’s enterprise. The role focuses on ETL pipelines using AWS services, data modeling, governance, and proactive monitoring.

You will implement secure data workflows, ensure data quality, and collaborate with cross-functional teams to optimize performance and enable advanced analytics for manufacturing and operations.

Qualifications

• Bachelor’s degree or equivalent work experience in a technical field.
• 3+ years in data engineering or related roles.
• Proven experience with AWS data solutions and orchestration.
• Experience integrating ERP systems and APIs into data pipelines.

Responsibilities

• Design, build, and maintain scalable ETL pipelines on AWS (Glue, EMR, DMS, S3, Redshift).
• Develop data models (conceptual, logical, physical) and optimize queries.
• Implement governance and security (IAM, encryption) and monitor with CloudWatch.
• Collaborate with cross-functional teams to deliver data-driven solutions with high quality and reliability.

Skills

Python

PySpark

SQL

AWS Glue

AWS EMR

Redshift

DMS

S3

IAM

CloudWatch

ETL

Data Modeling

Data Governance

Git

AWS CDK

Security

APIs

ERP Integration

Education

Bachelor's degree in Computer Science / Data Science / Applied Mathematics / Information Technology

Tools

GitHub

AWS CDK

Info: Informatica CDGC/CDQ

Job description

American Honda Motor Company, Inc. seeks a Data Engineer to design, build, and maintain scalable data solutions powering analytics and BI across Honda’s enterprise. The role focuses on ETL pipelines using AWS services, data modeling, governance, and proactive monitoring.

You will implement secure data workflows, ensure data quality, and collaborate with cross-functional teams to optimize performance and enable advanced analytics for manufacturing and operations.