Industrial IoT Edge & Data Engineer

Siemens

Wendell (NC)

On-site

USD 84,000 - 144,000

Full time

3 days ago
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Job summary

Siemens in Wendell, NC is seeking an Industrial Edge & Manufacturing Data Engineer to partner with production, engineering and IT teams. You will design data models, build edge-to-cloud pipelines and help deploy secure, scalable connectivity across U.S. facilities.

The role requires hands-on experience with MQTT, OPC UA, Kafka, Node-RED and Snowflake, plus travel up to 20%. You will validate data, document standards, and collaborate with global teams to enable smarter manufacturing and analytics

Qualifications

  • Bachelor's degree in Engineering or related technical field.
  • 3+ years in industrial connectivity, IIoT, or manufacturing data environments.
  • Familiarity with MQTT and OPC UA protocols.
  • Experience with Kafka, Node-RED and data ingestion in edge-to-cloud setups.
  • Experience with Snowflake data models and data ingestion.

Responsibilities

  • Identify data requirements with manufacturing and operations stakeholders.
  • Configure and support shop-floor connectivity using Siemens Edge technologies.
  • Develop and maintain equipment-to-cloud data pipelines (Kafka, Node-RED, MQTT, OPC UA).
  • Create and validate data models for reliable edge-to-cloud data delivery.
  • Coordinate with cybersecurity, IT, and global teams for secure deployments.
  • Document deployment standards and support procedures.

Skills

Industrial IoT
Edge computing
Data pipeline design
Cloud data modeling

Education

Bachelor's degree in Engineering

Tools

Kafka
Node-RED
MQTT
OPC UA
Snowflake

Job description

Siemens in Wendell, NC is seeking an Industrial Edge & Manufacturing Data Engineer to partner with production, engineering and IT teams. You will design data models, build edge-to-cloud pipelines and help deploy secure, scalable connectivity across U.S. facilities.

The role requires hands-on experience with MQTT, OPC UA, Kafka, Node-RED and Snowflake, plus travel up to 20%. You will validate data, document standards, and collaborate with global teams to enable smarter manufacturing and analytics

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