Data Engineer III: Factory Analytics & ML Systems

Amazon Inc.; Omaha, Northern (NE, KY); Hybrid; USD 155,000 - 209,000; Full time

Benefits offered by this job

Medical coverage

Parental leave

PTO

401(k)

Job summary

Amazon Manufacturing Services (AMS) is seeking a Data Engineer III to own and evolve data pipelines and analytics on the shop floor in Bellevue, WA. You will partner with engineering and operations to turn raw signals into actionable insights.

You will model data, build dashboards with QuickSight, and develop ML workflows for forecasting and optimization, while owning data quality and documentation. This role offers visibility to AMS leadership, collaboration with senior engineers, and the

Qualifications

• 5+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with SQL.
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
• Experience mentoring team members on best practices.

Responsibilities

• Design and operate data pipelines on AWS Glue (PySpark), Kinesis, S3, and EventBridge to ingest DynamoDB streams and enterprise data into the AMS data lake.
• Model and maintain the Redshift warehouse and S3/Athena data lake that power analytics across AMS services.
• Build ingestion and modeling layers for enterprise data sources including SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance.
• Develop QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs.
• Build and deploy ML models and pipelines for manufacturing use cases such as demand forecasting, machine health prediction, and scheduling optimization.
• Own data quality, lineage, and documentation across the AMS analytics stack.
• Collaborate with senior SDEs on architecture, service event schemas, and integration patterns, while holding significant ownership over your part of the data domain.

Skills

Data engineering

Data modeling

SQL

Python

Mentoring

Tools

AWS Glue

Redshift

S3

Athena

DynamoDB

Job description

Amazon Manufacturing Services (AMS) is seeking a Data Engineer III to own and evolve data pipelines and analytics on the shop floor in Bellevue, WA. You will partner with engineering and operations to turn raw signals into actionable insights.

You will model data, build dashboards with QuickSight, and develop ML workflows for forecasting and optimization, while owning data quality and documentation. This role offers visibility to AMS leadership, collaboration with senior engineers, and the