Description:
The Data Acquisition & Analysis Engineer for Fleet Operational Testing is responsible for ensuring robust and reliable automotive vehicle data acquisition processes to support Engineering and Quality initiatives.
This role includes managing in-vehicle data logger installations, developing and maintaining data logger configurations, and automating data validation workflows. Installing the data logger, maintain them, and validate tracing after installation. Create & update configurations.
The position also serves as a key interface with the global counterpart teams.
Hours: Monday through Friday, 7:00 AM to 3:30 PM.
Pay Range: $48.00 - $51.00/Hourly, depending upon experience
*This role is located onsite in the Oxnard, CA area*
*Local candidates preferred - no relocation assistance available*
Requirements:
Key Responsibilities:
- Data Logger Operations (50%)
- Install and maintain data loggers in test fleet vehicles.
- Validate tracing after installation
- Ensure weekly tracing checks are completed via automated processes in Snowpark.
- Create and update configurations
- Collaborate with stakeholders world wide
- Snowpark Reports (20%)
- Develop and maintain reporting solutions using Snowpark, using clean, efficient Python code for data processing and reporting.
- Collaborate with data engineers and stakeholders.
- Data Integrity & Analysis (15%)
- Monitor data acquisition systems for completeness and accuracy.
- Support engineering teams with structured and validated datasets.
- Cross-Functional Collaboration (5%)
- Maintain active communication and professional relationships with Messtechnik teams in VW AG and VW Mexico.
- Coordinate support and knowledge sharing across global teams.
- Misc Tasks (10%)
- Identify and implement improvements in data acquisition and tracing workflows.
- Maintain documentation and configuration libraries for traceability and reuse.
Miscellaneous vehicle station activities such as:
ยท Support Workshop Lead in daily tasks
ยท Support Quality Validation Test Lead in retesting of issues found in fleet vehicles
ยท Support Manager Quality Test Fleet Ops & EV in daily tasks
Required Qualifications:
- Bachelorโs degree in Engineering, Computer Science, Data Science, or similar equivalent work experience.
- Hands-on experience with vehicle data logging systems and configuration tools-- such as: Vector GL logger, CAN, CANape, INCA or Intrepid Control Systems neoVI
- Familiarity with Snowpark or similar data processing platforms.
- Proficiency in scripting languages (e.g., Python, SQL) for automation.
Skills: General skills needed to perform the job
โข Analytical and conceptual thinking โ using logic and reason, creative and strategic
โข Good Communication skills โ interpersonal / written
โข Computer savvy โ proficient/advanced in all areas of MS Office
โข Strong collaboration skills - conducive to a positive team work environment
โข Initiative โ self-starter, ability to work independently
โข Detail Orientation โ demonstrated record of precision and integrity
โข Ability to prioritize and strong attention to detail
โข Organized and dependable
โข Basic technical knowledge of complete vehicle components and functions
โข Basic technical knowledge of common automotive networks, e.g. CAN, Ethernet, etc.
โข Clean driving record and valid driverโs license
โข Able to use digital camera equipment to produce clear images and basic editing of digital photograph
Strong interpersonal and communication skills for cross-functional collaboration
Fluent in English
Preferred Qualifications:
ยท Familiarity or knowledge in automotive vehicle architectures and measurement systems, networks.
ยท Background in automotive testing.
ยท German or Spanish language skills are advantageous