Manufacturing Data Engineer III Analytics & ML Pipelines

Amazon; Bellevue (WA); On-site; USD 155,000 - 209,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Coverage

Paid Time Off

401(k) Plan

Parental Leave Options

Job summary

Amazon Manufacturing Services (AMS) seeks a data engineer to own pipelines, warehousing, dashboards, and ML workflows transforming shop-floor signals into actionable insights for AMS leadership.

You will design and operate AWS-based data infrastructure, model Redshift and data lake layers, and build dashboards and ML models to forecast demand, predict machine health, and optimize scheduling. This role blends backend data engineering with manufacturing impact.

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 system 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

SQL

Python/Java/Scala/NodeJS

Mentoring

Data modeling

Warehousing

ETL pipelines

Tools

Hadoop

Hive

Spark

EMR

Job description

Amazon Manufacturing Services (AMS) seeks a data engineer to own pipelines, warehousing, dashboards, and ML workflows transforming shop-floor signals into actionable insights for AMS leadership.

You will design and operate AWS-based data infrastructure, model Redshift and data lake layers, and build dashboards and ML models to forecast demand, predict machine health, and optimize scheduling. This role blends backend data engineering with manufacturing impact.