Asylon is seeking an experienced Data Engineer to design and maintain real-time data pipelines that drive video, telemetry, and sensor streams from a fleet of robots. This onsite role in Norristown, PA focuses on low-latency processing to support live monitoring and machine learning model training, with a compensation range of USD 120,000 to 160,000 per year.
Responsibilities
- Architect and optimize high-throughput, low-latency data pipelines across Azure cloud and on‑prem environments, tailored for streaming and time-series data.
- Capture and process robot telemetry data such as position, velocity, and battery life for analytics and monitoring.
- Create efficient ingestion, storage, and retrieval solutions for high-resolution video and Lidar point cloud data.
- Provide fast, reliable data access to research and development teams.
- Collaborate with software engineers to define data formats and communication protocols for robot to cloud transmission.
- Implement mechanisms to handle intermittent connectivity and ensure data completeness.
Requirements
- Minimum 3 years of hands-on data engineering experience with a strong emphasis on real-time or streaming data.
- Experience with data storage services including cloud-based options such as Azure Data Lake and self-hosted deployments.
- Expert-level proficiency in Python and data query languages.
- Experience with streaming data processing frameworks.
- Experience with time-series databases.
- Bachelor’s degree.
Domain Experience
Five years of experience as a Data Engineer in robotics, IoT, or autonomous systems domains is required.
Technologies
- Azure
- Azure Data Lake
- Python
- Kubernetes
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Compensation
USD 120,000 - 160,000 per year
Job Type
Full-time
Schedule
Monday to Friday; weekends as needed
Work Location
In person
Application Question
Are you a U.S. Person as defined by 22 C.F.R. §120.62 (includes U.S. Citizens, lawful permanent residents, refugees, or asylees)? Yes or No
