Jobs via Dice
Job Title
IIoT Lead Engineer
Location Pella, Iowa AND Des Moines, Iowa (remote, local to IA, travel once a month)
Duration 6+ Months
Position Overview We are seeking a technically‑driven
IIoT (industrial internet of things) Engineer - Lead
to lead factory visualization and edge computing initiatives within our Litmus and Real‑time Insights project. The ideal candidate is passionate about industrial data systems, IT/OT integration, scalable architecture, and real‑time operational intelligence.
Key Responsibilities
Bring cross‑functional IT and OT teams together to develop industrial data systems, scalable architecture, and real‑time operational intelligence.
Design and implement edge‑level data flows from factory assets using the Litmus Edge platform.
Develop scalable data models and metadata structures for integration with Litmus Edge, InfluxDB, and Databricks.
Partner with subject matter experts and the business intelligence team to develop dashboards/visualizations using Grafana and PowerBI.
Collaborate cross‑functionally to support ROI analysis, downtime tracking, and system deprecation strategies.
Author technical documentation and contribute to governance standards for data processing and visualization.
Share knowledge with internal teams to support long‑term sustainability of new systems, processes, and capabilities.
Qualifications
Excellent problem‑solving, analytical, project management, and communication skills.
Ability to work across teams to align technical execution with strategic goals.
Proven experience in industrial data ops, edge computing, or factory data systems.
Strong knowledge of visualization tools and real‑time monitoring platforms.
Knowledge of industrial communication protocols (e.g., MQTT, OPC‑UA, Modbus).
Seniority Level Mid‑Senior Level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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Location Pella, Iowa AND Des Moines, Iowa (remote, local to IA, travel once a month)
Duration 6+ Months
Position Overview We are seeking a technically‑driven
IIoT (industrial internet of things) Engineer - Lead
to lead factory visualization and edge computing initiatives within our Litmus and Real‑time Insights project. The ideal candidate is passionate about industrial data systems, IT/OT integration, scalable architecture, and real‑time operational intelligence.
Key Responsibilities
Bring cross‑functional IT and OT teams together to develop industrial data systems, scalable architecture, and real‑time operational intelligence.
Design and implement edge‑level data flows from factory assets using the Litmus Edge platform.
Develop scalable data models and metadata structures for integration with Litmus Edge, InfluxDB, and Databricks.
Partner with subject matter experts and the business intelligence team to develop dashboards/visualizations using Grafana and PowerBI.
Collaborate cross‑functionally to support ROI analysis, downtime tracking, and system deprecation strategies.
Author technical documentation and contribute to governance standards for data processing and visualization.
Share knowledge with internal teams to support long‑term sustainability of new systems, processes, and capabilities.
Qualifications
Excellent problem‑solving, analytical, project management, and communication skills.
Ability to work across teams to align technical execution with strategic goals.
Proven experience in industrial data ops, edge computing, or factory data systems.
Strong knowledge of visualization tools and real‑time monitoring platforms.
Knowledge of industrial communication protocols (e.g., MQTT, OPC‑UA, Modbus).
Seniority Level Mid‑Senior Level
Employment Type Full‑time
Job Function Engineering and Information Technology
Industries Software Development
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