HatchPros
IIoT Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an "IIoT Data Engineer" on a contract basis, requiring USC only. Key skills include Kafka, PySpark, and Databricks. Preferred experience in manufacturing or IIoT environments, with strong DevOps capabilities and expertise in real-time data processing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
576
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🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Eden Prairie, MN
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🧠 - Skills detailed
#Data Pipeline #Data Engineering #AI (Artificial Intelligence) #Spark (Apache Spark) #Kafka (Apache Kafka) #PySpark #Datasets #Data Ingestion #Monitoring #Databricks #Automation #Data Science #DevOps
Role description
T+S
USC only
Key Responsibilities
• Develop and support data streaming architectures using platforms such as Kafka, NATS.io, or equivalent tools.
• Collect, integrate, and process IIoT data from standard industrial devices as well as custom hardware integrations.
• Design and manage real-time data pipelines leveraging technologies like PySpark and Databricks.
• Work closely with Data Scientists to prepare, refine, and deliver high-quality datasets for AI model training.
• Maintain high availability, low latency, and robust performance across all data ingestion and processing workflows.
Preferred Experience
• Experience working in manufacturing, industrial automation, or IIoT environments.
• Strong expertise in edge-level data acquisition, device connectivity, and real-time stream processing.
• Solid DevOps capabilities focused on deploying, monitoring, and optimizing data pipeline infrastructure.
T+S
USC only
Key Responsibilities
• Develop and support data streaming architectures using platforms such as Kafka, NATS.io, or equivalent tools.
• Collect, integrate, and process IIoT data from standard industrial devices as well as custom hardware integrations.
• Design and manage real-time data pipelines leveraging technologies like PySpark and Databricks.
• Work closely with Data Scientists to prepare, refine, and deliver high-quality datasets for AI model training.
• Maintain high availability, low latency, and robust performance across all data ingestion and processing workflows.
Preferred Experience
• Experience working in manufacturing, industrial automation, or IIoT environments.
• Strong expertise in edge-level data acquisition, device connectivity, and real-time stream processing.
• Solid DevOps capabilities focused on deploying, monitoring, and optimizing data pipeline infrastructure.
