Tekgence Inc

IIoT Engineer - Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an IIoT Engineer - Lead, hybrid in Pella and Des Moines, Iowa, for 6 months. Key skills include industrial data ops, edge computing, and visualization tools. Experience with MQTT and Power BI is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 11, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Des Moines, IA
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🧠 - Skills detailed
#Visualization #Microsoft Power BI #MQTT (Message Queuing Telemetry Transport) #Data Processing #IoT (Internet of Things) #Databricks #Project Management #Scala #Grafana #Monitoring #Documentation #Metadata #BI (Business Intelligence)
Role description
Job Title: IIoT Engineer - Lead Location: Pella, Iowa, and Des Moines, Iowa (Hybrid - 3-5 days a week onsite, one week per month, at either location. Location may change from one to the other on a month-to-month basis) 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 Power BI. • 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 the 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).