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Senior Robotics Data Engineer - Only W2
Warren, MI · On-site
$99K - $135K/yr
Senior Robotics Data Engineer Location: Warren, MI (Onsite from Day 1) Job Type: W2 Contract Main ... Microsoft data ecosystems (Power BI, Azure data services)
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Overnight Microsoft Data Engineer information
What is an overnight Microsoft data engineer?
Overnight Microsoft Data Engineers are IT professionals who specialize in developing, managing, and optimizing data solutions using Microsoft technologies during overnight shifts. They work with platforms such as Azure, SQL Server, and Power BI to ensure data pipelines, databases, and analytics systems are running smoothly, often performing maintenance or troubleshooting outside of standard business hours. Their responsibilities may include monitoring data flows, resolving technical issues, and supporting business intelligence needs to ensure data availability and reliability for the next business day.
What are the key skills and qualifications needed to thrive as an overnight Microsoft data engineer?
To thrive as an Overnight Microsoft Data Engineer, you need strong skills in data modeling, ETL processes, and expertise with Microsoft SQL Server and Azure data services, typically supported by a degree in computer science or a related field. Proficiency in tools like Azure Data Factory, SQL Server Integration Services (SSIS), and relevant Microsoft certifications such as Azure Data Engineer Associate are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for quickly resolving issues and collaborating with remote or global teams during overnight shifts. These skills ensure data pipelines remain reliable, secure, and efficient, supporting continuous business operations across time zones.
What are some typical challenges faced by overnight Microsoft data engineers, and how can they be managed effectively?
Overnight Microsoft Data Engineers often encounter challenges such as maintaining system uptime during off-peak hours, managing data pipeline failures, and ensuring data integrity without immediate access to full team support. Effective communication with day teams, thorough documentation, and leveraging automated monitoring tools are essential strategies for overcoming these challenges. Additionally, being proactive in identifying potential issues and collaborating with cross-functional teams during handover meetings helps ensure smooth operations and consistent data quality.
What are the most commonly searched types of Microsoft Data Engineer jobs in Michigan?
The most popular types of Microsoft Data Engineer jobs in Michigan are:
What are popular job titles related to Overnight Microsoft Data Engineer jobs in Michigan?
For Overnight Microsoft Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Overnight Microsoft Data Engineer jobs in Michigan look for?
The top searched job categories for Overnight Microsoft Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Overnight Microsoft Data Engineer jobs?
Cities in Michigan with the most Overnight Microsoft Data Engineer job openings:
Senior Robotics Data Engineer - Only W2
Warren, MI • On-site
Saransh Inc •
IT Services • 51 - 200 employees51 - 200 employees
$99K - $135K/yr
Contractor
Re-posted 25 days ago
Job description
Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).
About Saransh
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Princeton, NJ, US