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Data Engineer
| Company | Aescape |
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| Location | San Francisco, CA, USA |
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| Salary | $160000 – $190000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Junior, Mid Level |
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Requirements
- Strong expertise in data engineering with Python, SQL, and cloud-based data pipeline development (AWS, Azure, or GCP)
- Experience building automated data systems for IoT devices, robotics platforms, or real-time operational environments
- A solid background in data warehousing, ETL/ELT processes, and analytics infrastructure for business intelligence
- An understanding of data requirements for machine learning applications and experience supporting algorithm development teams
- Proven ability to work with cross-functional teams in fast-paced environments where data drives critical business decisions
Responsibilities
- Design and build robust data pipelines that capture, process, and analyze real-time data from our network of AI-powered massage robots across global locations
- Develop scalable ETL processes that transform massage session data, user preferences, and system performance metrics into actionable business intelligence
- Build data infrastructure that supports our advanced motion planning algorithms and enables continuous improvement of our autonomous massage experiences
- Collaborate with roboticist and engineering teams to establish data frameworks that support machine learning initiatives and robotic behavior optimization
- Create analytics platforms that provide insights into utilization patterns, user satisfaction, and system performance across our enterprise partner network
- Implement data solutions that enable our rapid scaling while maintaining data quality and supporting real-time operational decision-making
Preferred Qualifications
No preferred qualifications provided.
