Navat Technology LLC

Job Overview
We are seeking an experienced Data Engineer to architect, build, and maintain the complex, real-time data streams generated by our fleet of mobile and static robots. This critical role involves managing video, telemetry, and sensor data, ensuring low-latency processing for real-time monitoring, efficient debugging, and training of our machine learning models.

Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees.

Primary duties include:

· Design, build, and optimize high-throughput, low-latency data pipelines using cloud (Azure) and on-prem services, specialized for streaming and time-series data.

· Manage and process data generated from robot telemetry (position, velocity, battery life, etc.).

· Develop solutions for efficient ingestion, storage, and retrieval of high-resolution video and Lidar point cloud data.

· Facilitate efficient access to data for R&D teams.

· Work with software engineers to define data formats and communication protocols for transmission from the robot to the cloud.

· Implement mechanisms for dealing with intermittent connectivity and ensuring data completeness.

Required Skills and Experience:

· Minimum of 3 years of hands-on experience in a Data Engineering role, with significant focus on real-time or streaming data.

· Experience with data storage services, including cloud-based (such as Azure Data Lake) and self-hosted.

· Expert-level proficiency in Python and data query languages.

· Experience with streaming data processing frameworks.

· Experience with time-series databases.

Preferred Experience:

· 5+ years of experience in Data Engineering, particularly within the robotics, IoT, or autonomous systems domain.

· Experience handling and processing video data at scale.

· Familiarity with Kubernetes for deploying scalable processing applications.

· Knowledge of geospatial data (GIS) processing and mapping libraries.

· Strong understanding of networking concepts and low-latency data transfer protocols relevant to robotics.

Job Type: Full-time

Pay: $120,000 - $160,000

Schedule:

• Monday to Friday
• Weekends as needed

Education:

· Bachelor’s (Required)

Work Location: In person

Job Type: Full-time

Pay: $120,000.00 - $160,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Relocation assistance
• Vision insurance

Application Question(s):

• Are you a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes Or No

Experience:

• Data Engineer in Robotics, IoT or Autonomous Systems Domain: 5 years (Required)

Work Location: In person