MFG Data-MES Integration Engr, Manufacturing Automation Design & Engineering

Amazon Web Services (AWS); Austin (TX); On-site; USD 178,000 - 241,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) is seeking an experienced Manufacturing Data Engineer to own the MES integration architecture and data strategy across contract manufacturers. You will design data pipelines, integrate MES with SAP ERP, and ensure standardized data formats across sites, enabling real-time visibility and traceability.

The role requires deep expertise in industrial data systems, MES platforms, and multi-site data governance. Travel to supplier sites is expected to be up to 25–30%.

Qualifications

• Experience building data products incrementally and integrating and managing data sets from multiple sources.
• Bachelor's/Master's degree in Computer Science, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or equivalent.
• 7+ years in manufacturing data systems, MES integration, or industrial data engineering.
• Experience configuring and integrating MES platforms with production equipment (e.g., Camstar, AVEVA, SAP ME).
• Proficiency in industrial communication protocols (OPC-UA, MQTT, EtherNet/IP, PROFINET).
• Experience building data pipelines from PLCs, robots, vision systems, sensors into centralized data platforms.
• Experience defining data standards and schemas for multi-site manufacturing environments.
• Experience integrating manufacturing data with ERP/SAP systems (SAP PP/QM/MES, SAP Plant Connectivity).

Responsibilities

• Own the MES integration architecture: connects automation equipment to MES and enterprise data at all sites.
• Design and deploy industrial data pipelines from production equipment to centralized platforms.
• Configure MES platforms for recipe management, work order routing, tracking, and logging.
• Define data schemas and standards for data consistency across contract manufacturers.
• Build production traceability systems linking operations to assembled units.
• Implement SPC monitoring and alerting for process drift across stations.
• Define and deploy industrial communication protocol standards for the ecosystem.
• Collaborate with Controls and Vision engineers to ensure data is output in the standard format.
• Integrate production data with SAP (production orders, material consumption, yield, traceability) for planning and costing.

Skills

MES integration

Industrial data

Data pipelines

ERP/SAP integration

OPC-UA/MQTT/EtherNet/IP

Multi-site data standards

Education

Bachelor's/Master's degree in Computer Science or Engineering

Tools

Camstar

AVEVA

Rockwell Plex

SAP ME

SAP Plant Connectivity

Job description

Description

Amazon Web Services' Hardware Engineering team is looking for experienced professionals to help build the world's premier cloud computing platform. The Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions, including robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows, across contract manufacturer sites worldwide.

Description

Amazon Web Services' Hardware Engineering team is looking for experienced professionals to help build the world's premier cloud computing platform. The Manufacturing Automation Design & Engineering team designs, validates, and deploys automation solutions, including robotics, cobots, vision inspection, AI-powered quality systems, and automated assembly workflows, across contract manufacturer sites worldwide.

About the Role: You will own the manufacturing data architecture and MES integration strategy that connects automated production equipment to enterprise systems across all contract manufacturer sites. You design and deploy the data infrastructure layer that enables every automated station to generate, transmit, and store production data in a standardized format. You configure and integrate MES platforms with automation equipment (PLCs, robots, vision systems, sensors), define recipe management structures for multi-platform production, and establish industrial communication protocols (OPC-UA, MQTT, EtherNet/IP) as the standard data transport layer. You build production data pipelines that feed traceability systems, SPC monitoring, and process drift detection, providing the engineering team with real-time visibility into automation performance. You define data schemas and integration standards that ensure manufacturing data is consistent across all contract manufacturers, enabling the team to compare, benchmark, and optimize automation across sites. You also own the integration of manufacturing production data with SAP systems, ensuring automated assembly data (production orders, material consumption, yield, and traceability records) flows into the enterprise ERP layer for planning, costing, and compliance. The scope covers all server and rack assembly across all architectures and platforms, including compute, AI/ML accelerators, storage, and networking. The team designs intelligent, predictive-analytics-driven production systems where every station is sensor-driven, AI-optimized, and self-correcting, turning assembly lines into programmable, data-generating platforms that scale capacity without scaling headcount. This role requires the engineer to operate in a fast-paced, multi-platform international manufacturing environment with travel to contract manufacturer sites (up to 25-30% travel anticipated).

Key job responsibilities

• Own the MES integration architecture: defining how automation equipment (PLCs, robots, vision, sensors) connects to MES and enterprise data systems at all contract manufacturer sites
• Design and deploy industrial data pipelines from production equipment to centralized data platforms using OPC-UA, MQTT, and EtherNet/IP protocols
• Configure MES platforms for automated production lines: recipe management, work order routing, process parameter tracking, and production event logging
• Define data schemas and standards that ensure manufacturing data consistency across all contract manufacturers and platforms
• Build production traceability systems linking every automated operation (torque, inspection result, cycle time) to the individual assembled unit
• Implement SPC monitoring and automated alerting for process drift detection across automated stations
• Define and deploy industrial communication protocol standards for the automation ecosystem
• Partner with Controls and Vision engineers to ensure all automation cells output data in the defined standard format
• Integrate manufacturing production data with SAP (production orders, material consumption, quality results, yield reporting) to enable enterprise-level planning, costing, and traceability

About The Team

About the team: The Manufacturing Automation Design & Engineering team is building a centralized automation Center of Excellence that owns the process specification and IP for how AWS hardware gets assembled. The team is responsible for engineering, defining automated process requirements, designing and proving solutions at proof-of-concept, and maintaining AWS-owned intellectual property that scales globally. The team works within a collaborative framework across Hardware Engineering (product design for automation), Manufacturing Automation Design & Engineering (process specification and validation), and Manufacturing Operations (deployment and scaling), ensuring automation is engineered once, proven once, and deployed everywhere.

Basic Qualifications

• Experience building data products incrementally and integrating and managing data sets from multiple sources
• Bachelor's/Master's degree in Computer Science, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, or equivalent
• 7+ years in manufacturing data systems, MES integration, or industrial data engineering
• Experience configuring and integrating MES platforms (e.g., Camstar, AVEVA, Rockwell Plex, SAP ME, or equivalent) with production equipment
• Proficiency in industrial communication protocols (OPC-UA, MQTT, EtherNet/IP, PROFINET)
• Experience building data pipelines from PLCs, robots, vision systems, and sensor networks into centralized data platforms
• Experience defining data standards and schemas for multi-site manufacturing environments
• Experience integrating manufacturing data with ERP/SAP systems (e.g., SAP PP, SAP QM, SAP MES, or SAP Plant Connectivity)

Preferred Qualifications

• Experience with AWS data and IoT services (e.g., IoT Core, Greengrass, Kinesis, Glue, S3, Timestream)
• MES recipe management and work order configuration experience for multi-platform production lines
• Experience with time-series databases and streaming data architectures for manufacturing
• Knowledge of statistical methods for manufacturing quality (e.g., SPC, Cpk, process capability analysis)
• Electronics, server, or precision hardware manufacturing environment
• Experience standardizing data systems across multiple contract manufacturer sites with different MES platforms
• Experience with SCADA/historian systems (e.g., Ignition, OSIsoft PI, Wonderware)
• Experience with SAP integration technologies (e.g., SAP Plant Connectivity (PCo), SAP MII, RFC/BAPI interfaces, IDocs, or SAP S/4HANA Manufacturing)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Sunnyvale - 177,800.00 - 240,500.00 USD annually

Company - Amazon Data Services, Inc.

Job ID: A10497885