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# Industrial IoT Engineer

- **Company:** Siemens AG
- **Location:** Wendell, NC, United States
- **Experience:** Experienced
- **Salary:** $83,966.0 - $143,942.0
- **Contract:** Permanent contract
- **Skills:** Software Documentation, Communications Protocols, Computer Engineering, System Configuration, Information Engineering, Data Governance, Data Integration, Message Queuing Telemetry Transport (MQTT), Node.Js, OPC Unified Architecture, Technical Data Management Systems, Cloud Platform System, Data Ingestion, Snowflake, Information Technology, Apache Kafka, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a7d0c7e0c090e522

## About the Role

* Bachelor's degree in Engineering, Computer Engineering, Information Technology, Computer Science, Industrial Technology, or a related technical discipline; equivalent practical experience will also be considered.
 * 3+ years of experience supporting industrial connectivity, manufacturing systems, Industrial IoT, data engineering, or related technology environments.
 * Working knowledge of industrial communication standards and protocols, including MQTT and OPC UA.
 * Experience configuring and supporting Kafka and Node-RED within industrial or manufacturing environments.
 * Hands-on experience with Snowflake, including building, validating, and troubleshooting manufacturing source data models and data ingestion processes.
 * Experience validating equipment data, troubleshooting connectivity issues, and supporting reliable edge-to-cloud data delivery.
 * Ability to communicate technical concepts with business stakeholders, manufacturing personnel, IT teams, and data engineering teams.
 * Willingness and ability to travel up to 20% to support U.S. manufacturing facilities.
 * Legally authorized to work in the United States on a continual and permanent basis without company sponsorship., * 5+ years of experience in Industrial IoT, manufacturing digitalization, data integration, or industrial automation environments.
 * Hands-on experience with Siemens Industrial Edge, including device connectivity, edge applications, and data pipeline configuration.
 * Understanding of secure system administration, documentation standards, incident management, and controlled change processes.
 * Experience administering Siemens Industrial Edge Management and supporting lifecycle management processes.
 * Experience developing structured machine-data schemas, asset models, and standardized connectivity frameworks.
 * Knowledge of manufacturing equipment onboarding methodologies and scalable deployment patterns.
 * Experience supporting edge-to-cloud architectures and enterprise manufacturing data platforms.
 * Experience deploying and supporting connected equipment across multiple manufacturing sites.
 * Knowledge of cloud-based manufacturing analytics, data governance, and enterprise data architecture principles.
 * Experience working with cross-functional IT, cloud, manufacturing, and operational technology teams.

## Description

We are looking for an Industrial Edge & Manufacturing Data Engineer. This position will be based in Wendell, NC.

You'll make an impact by:

 * Partnering with manufacturing, operations, and business stakeholders to identify critical operational signals and data requirements that support production visibility and decision-making.
 * Configuring and supporting shop-floor connectivity solutions using Siemens Industrial Edge technologies and industrial communication protocols.
 * Developing and maintaining equipment-to-cloud data pipelines utilizing technologies such as Kafka, Node-RED, MQTT, and OPC UA.
 * Creating source, asset, and event-based data models that enable reliable collection, organization, and storage of manufacturing data within cloud environments, including Snowflake.
 * Validating equipment data, interface contracts, schemas, and ingestion processes to ensure accuracy, consistency, and reliability.
 * Collaborating with data engineers to support the transition of source data into governed analytical and semantic data models.
 * Managing Industrial Edge and Industrial Edge Management lifecycle activities, including deployment, configuration, documentation, incident management, and service support.
 * Supporting equipment connectivity rollouts and manufacturing digitalization initiatives across multiple U.S. production facilities.
 * Coordinating with cybersecurity, IT, networking, and global platform teams to ensure secure, scalable, and compliant deployments.
 * Documenting reusable deployment standards, onboarding processes, connectivity architectures, and support procedures to enable enterprise-wide adoption.