Industrial IoT Engineer

Siemens•Wendell, NC

13h•$83,966 - $143,942•Hybrid

About The Position

Siemens is hiring an Industrial Edge & Manufacturing Data Engineer for its Electrification & Automation Business Unit, based in Wendell, North Carolina. The role supports manufacturing connectivity and digitalization by connecting shop-floor equipment to cloud data platforms and enabling reliable, governed manufacturing data for operational visibility and decision-making. The engineer partners with manufacturing, operations, business, data engineering, cybersecurity, IT, networking, and global platform teams, and supports deployments across U.S. production facilities. The position involves configuring and supporting Siemens Industrial Edge technologies and industrial communication protocols; developing and maintaining equipment-to-cloud data pipelines using Kafka, Node-RED, MQTT, and OPC UA; and creating source, asset, and event-based data models, including within Snowflake. The engineer validates equipment data, schemas, interface contracts, and ingestion processes, while supporting the transition of source data into governed analytical and semantic models. The role also manages Industrial Edge and Industrial Edge Management lifecycle activities, including deployment, configuration, documentation, incident management, and service support, and develops reusable standards and procedures for enterprise adoption. The role requires a bachelor's degree in a relevant technical discipline or equivalent practical experience, at least three years of relevant experience, working knowledge of MQTT and OPC UA, experience with Kafka, Node-RED, and Snowflake, and willingness to travel up to 20%. Candidates must be legally authorized to work permanently in the United States without company sponsorship. Siemens describes the work mode as hybrid (remote/office) and the employment as full-time and permanent.

Requirements

Bachelor's degree in Engineering, Computer Engineering, Information Technology, Computer Science, Industrial Technology, or a related technical discipline; equivalent practical experience is also considered.
At least 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.

Nice To Haves

At least 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.

Responsibilities

Partner with manufacturing, operations, and business stakeholders to identify critical operational signals and data requirements for production visibility and decision-making.
Configure and support shop-floor connectivity solutions using Siemens Industrial Edge technologies and industrial communication protocols.
Develop and maintain equipment-to-cloud data pipelines using technologies such as Kafka, Node-RED, MQTT, and OPC UA.
Create source, asset, and event-based data models for reliable collection, organization, and storage of manufacturing data in cloud environments, including Snowflake.
Validate equipment data, interface contracts, schemas, and ingestion processes for accuracy, consistency, and reliability.
Collaborate with data engineers to transition source data into governed analytical and semantic data models.
Manage Industrial Edge and Industrial Edge Management lifecycle activities, including deployment, configuration, documentation, incident management, and service support.
Support equipment connectivity rollouts and manufacturing digitalization initiatives across multiple U.S. production facilities.
Coordinate with cybersecurity, IT, networking, and global platform teams to ensure secure, scalable, and compliant deployments.
Document reusable deployment standards, onboarding processes, connectivity architectures, and support procedures to enable enterprise-wide adoption.