Industrial IoT Engineer

Siemens•Published 2 days ago•First seen 1 days ago

Industrial IoT Engineer

Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That's why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

About Electrification & Automation:

Headquartered in Wendell, NC, the Electrification & Automation (E&A) Business Unit offers the full range of energy distribution systems and solutions for all markets and through all sales channels. We provide reliable power distribution grids of today while investing in our Future Grids portfolio to create the power distribution grid of the future.

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.

About Siemens

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose, adding real value for customers.

Our Commitment to Equity and Inclusion in Our Diverse Global Workforce

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

You’ll Benefit From
Siemens 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.

Equal Employment Opportunity Statement
Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations
If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you’re unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency
Siemens follows Pay Transparency laws.

Application Deadline
This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

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Criminal History
Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.