Lead Data Engineer -- IoT, AI & Azure Data Platform
Apply now: Lead Data Engineer – IoT, AI & Azure Data Platform, location is REMOTE. The start date is early May for this Permanent position.
Job Title: Lead Data Engineer – IoT, AI & Azure Data Platform
Location-Type: Remote (EST / CST core working hours)
Start Date Is: Early May 2026
Duration: Permanent
Compensation Range: $150,000 - $170,000 10% annual bonus
Job Description:
Lead the design, build, and optimization of a scalable Azure-based data platform that transforms high-volume device data into actionable insights and AI-ready datasets.
Day-to-Day Responsibilities:
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Design and build scalable data pipelines for high-volume device and telemetry data
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Develop and manage ETL/ELT workflows using Azure Data Factory and Fabric
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Process both real-time streaming and batch data workloads
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Structure and clean data for reporting, analytics, and AI/ML use cases
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Integrate data with back-office systems (ERP, CRM, etc.)
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Support AI/ML teams by preparing feature-ready datasets
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Optimize performance, scalability, and reliability of data systems
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Lead architecture decisions and mentor engineers/external resources
Requirements:
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Must-Haves:
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5–8 years of data engineering or data platform experience
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Strong hands-on experience with Azure Data Factory and Microsoft Fabric
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Proven ability to build and scale data pipelines and cloud data platforms
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Experience handling large-scale, high-volume data and structuring it for reporting
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Proficiency in SQL and Python
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Experience with real-time/streaming and batch data processing
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Experience integrating data with enterprise systems (ERP, CRM, etc.)
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Nice-to-Haves:
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Experience with IoT or telemetry data
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Exposure to AI/ML pipelines and data preparation
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Knowledge of JavaScript/TypeScript
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Background in finance, retail, or other high-volume data environments
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