Data Engineer

Asylon; Norristown (Montgomery County); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

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.

The role requires hands-on experience with Azure data services, Python, and streaming frameworks, working across on-prem and cloud

Qualifications

• Minimum 3 years of hands-on data engineering with real-time/streaming data.
• Experience with 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.

Responsibilities

• Architect and optimize high-throughput, low-latency data pipelines across Azure cloud and on-prem environments.
• Capture and process robot telemetry data such as position, velocity, and battery life for analytics.
• Create ingestion, storage, and retrieval solutions for high-resolution video and Lidar 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.

Skills

Python

Data query languages

Streaming data processing

Time-series databases

Education

Bachelor’s degree

Tools

Azure

Azure Data Lake

Kubernetes

Job description

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