

Motion Recruitment
Senior Data Engineer / Robotics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer / Robotics, a 12+ month onsite contract in Detroit, MI, offering competitive pay. Required skills include 5+ years in data engineering, strong Python proficiency, and experience with multimodal datasets and ML workflows.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
April 23, 2026
π - Duration
More than 6 months
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ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Warren, MI
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π§ - Skills detailed
#Scala #Data Engineering #Deployment #ML (Machine Learning) #PyTorch #Data Pipeline #Python #AI (Artificial Intelligence) #Data Quality #Datasets #Cloud #Data Lifecycle #Documentation #TensorFlow
Role description
A cutting-edge robotics and AI organization is seeking a Senior Robotics Data Engineer to support next-generation autonomous manufacturing systems. This onsite contract role is based in the Detroit, MI area and focuses on building scalable data infrastructure that powers robotic perception, grasping, and manipulation models. Youβll work with large, complex datasets coming from both physical robots and advanced simulation environments, enabling real-world AI deployment at scale.
This opportunity is ideal for an engineer who enjoys owning the full data lifecycle behind intelligent systems. You wonβt just maintain pipelines β youβll help define how robotic data is captured, labeled, versioned, and validated for production AI. The work directly influences how robots learn and adapt across thousands of real manufacturing scenarios, offering deep technical growth and meaningful impact.
Contract Duration: 12+ Months
Required Skills & Experience
β’ 5+ years of experience in data engineering, ML systems, robotics, or related fields
β’ Strong Python experience building production-grade data pipelines
β’ Hands-on experience with large-scale, multimodal datasets (vision, depth, sensor data)
β’ Experience supporting ML or AI workflows in real-world environments
β’ Ability to collaborate across robotics, perception, and simulation teams
Desired Skills & Experience
β’ Background in robotics perception, grasping, or manipulation systems
β’ Experience with simulation platforms and synthetic data generation
β’ Familiarity with data labeling tools and annotation workflows
β’ Exposure to TensorFlow and/or PyTorch from a data systems perspective
β’ Experience with cloud or Microsoft data ecosystems is a plus
What You Will Be Doing
Tech Breakdown
β’ 50% Python-based data engineering & ML data systems
β’ 30% Robotics data capture, simulation, and synthetic data workflows
β’ 20% Data quality, versioning, and dataset governance
Daily Responsibilities
β’ 80% Hands-on engineering
β’ 10% Cross-team technical collaboration
β’ 10% Planning, design, and documentation
Posted By: Rose Baldonado
A cutting-edge robotics and AI organization is seeking a Senior Robotics Data Engineer to support next-generation autonomous manufacturing systems. This onsite contract role is based in the Detroit, MI area and focuses on building scalable data infrastructure that powers robotic perception, grasping, and manipulation models. Youβll work with large, complex datasets coming from both physical robots and advanced simulation environments, enabling real-world AI deployment at scale.
This opportunity is ideal for an engineer who enjoys owning the full data lifecycle behind intelligent systems. You wonβt just maintain pipelines β youβll help define how robotic data is captured, labeled, versioned, and validated for production AI. The work directly influences how robots learn and adapt across thousands of real manufacturing scenarios, offering deep technical growth and meaningful impact.
Contract Duration: 12+ Months
Required Skills & Experience
β’ 5+ years of experience in data engineering, ML systems, robotics, or related fields
β’ Strong Python experience building production-grade data pipelines
β’ Hands-on experience with large-scale, multimodal datasets (vision, depth, sensor data)
β’ Experience supporting ML or AI workflows in real-world environments
β’ Ability to collaborate across robotics, perception, and simulation teams
Desired Skills & Experience
β’ Background in robotics perception, grasping, or manipulation systems
β’ Experience with simulation platforms and synthetic data generation
β’ Familiarity with data labeling tools and annotation workflows
β’ Exposure to TensorFlow and/or PyTorch from a data systems perspective
β’ Experience with cloud or Microsoft data ecosystems is a plus
What You Will Be Doing
Tech Breakdown
β’ 50% Python-based data engineering & ML data systems
β’ 30% Robotics data capture, simulation, and synthetic data workflows
β’ 20% Data quality, versioning, and dataset governance
Daily Responsibilities
β’ 80% Hands-on engineering
β’ 10% Cross-team technical collaboration
β’ 10% Planning, design, and documentation
Posted By: Rose Baldonado





