Industrial IoT Engineer 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.
You'll win us over by having the following qualifications: Basic Qualifications: - 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.
Preferred Qualifications: - 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.
You'll Benefit FromSiemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html
The pay range for this position is $83,966 - $143,942 annually with a target incentive of 5% of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.
