IIoT Lead Engineer

Overview

Hybrid
$70 - $80
Contract - W2
Contract - 6 Month(s)

Skills

IIOT
OT integration
Litmus Edge platform
InfluxDB
and Databricks
Grafana and PowerBI

Job Details

Job Title: IIoT Engineer - Lead
Location: Pella, Iowa AND Des Moines, Iowa ---> remote but will need to go to either site once a month for 1 week at a time, site location will/can vary month to month. Must be local to IA
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 someone 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).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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