Fleet Data Engineer: Datalogging, Analytics & Tools

Tap Growth ai; Palo Alto (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Tap Growth ai is seeking a Fleet Data & Analytics Engineer to own the health and performance of our datalogging systems across the engineering vehicle fleet. You will build dashboards and tools that turn raw fleet data into actionable insight, and manage shared engineering tools that keep test programs running smoothly.

The role requires 2+ years in vehicle data acquisition and strong CAN tool experience, with collaboration across cloud and data platform teams to support vehicle testing needs.

Qualifications

• 2+ years of hands-on experience with vehicle data acquisition/CAN-based systems.
• Experience with CAN diagnostic and log analysis tools for embedded systems (CANoe/CANape/CANalyzer/MATLAB).
• Experience with vehicle datalogging tools and cloud/server connectivity.

Responsibilities

• Own health and performance of datalogging systems across the engineering vehicle fleet.
• Build dashboards and tooling to turn fleet data into actionable insights.
• Maintain shared engineering tools and licenses for testing programs.

Skills

Problem-solving

Attention to detail

Independent work

Cross-functional collaboration

Education

Bachelor's degree in Automotive Engineering

Bachelor's degree in Electrical Engineering

Bachelor's degree in Computer Engineering

Mechatronics or related field

Tools

CANoe

CANape

CANalyzer

MATLAB

Intrepid CS

Vehicle Spy

Job description

Tap Growth ai is seeking a Fleet Data & Analytics Engineer to own the health and performance of our datalogging systems across the engineering vehicle fleet. You will build dashboards and tools that turn raw fleet data into actionable insight, and manage shared engineering tools that keep test programs running smoothly.

The role requires 2+ years in vehicle data acquisition and strong CAN tool experience, with collaboration across cloud and data platform teams to support vehicle testing needs.