Data Engineer II, Test & Validation Labs, Dyno

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.

We are looking for a Data Engineer to join our Powertrain Data and Automation Team supporting the Test and Validation team for Powertrain Dyno Lab at Lucid. This role is critical in designing, building, and maintaining robust data pipelines that power insights for validation and test operations. You will be responsible for acquiring, transforming, and visualizing data from diverse sources, ensuring data is accurate, timely, and actionable.

 

Responsibilities:

• AVL System Integration: Develop and maintain data pipelines and interfaces specifically designed for AVL test systems, including PUMA 2 Navigator and Office, focusing on powertrain dyno test environments.
• Data Pipeline Development: Build, monitor, and optimize robust data pipelines to collect, transform, and store data from dyno labs and other validation systems.
• Data Acquisition: Ensure accurate and high-fidelity data collection from AVL powertrain testbeds, managing sensor integrations, calibration setups, and real-time acquisition.
• Analytics & Visualization: Create insightful dashboards and analytics using tools such as Tableau and Grafana to help engineers interpret and act on test data.
• Collaboration: Partner closely with test engineers, validation teams, and software developers to understand AVL data formats and ensure smooth integration with lab operations.
• Technology Deployment: Utilize Docker containers to manage microservices supporting test data ingestion and analytics; deploy in cloud environments (AWS preferred).
• Protocol Integration: Build connectors and interpreters for test data protocols including CAN, Modbus, TCP/IP, and AVL-specific data formats like MDF or ASAP3.
• Continuous Improvement: Streamline ETL processes for AVL dyno systems, focusing on speed, reliability, and scale to support continuous testing workflows.

 

Qualifications:

• Direct experience with AVL PUMA Open, CONCERTO, or other AVL software platforms in a powertrain test or dyno environment.
• Skilled in Python for ETL workflows, including libraries like Pandas and PyMDF.
• Familiarity with AWS services (e.g., S3, Lambda, EC2) for data processing and storage.
• Proficient in Docker and Git.
• Experience with CI/CD pipelines is a plus.
• Previous work with LabVIEW and SCADA systems is an asset.

 

Technical Skills:

• Strong understanding of test lab data acquisition systems and sensor integration.
• Knowledge of automotive protocols: CAN, Modbus, TCP/IP, and optionally, CCP/XCP or ASAP3.
• Experience with relational databases like PostgreSQL or time-series DBs like InfluxDB.

 

Soft Skills:

• Strong problem-solving and analytical skills.
• Effective communicator, especially in cross-functional lab environments.
• Detail-oriented with a proactive mindset and ability to manage competing priorities.

 

Education: 

• Bachelor’s degree in Electrical & Computer Engineering, Computer Science, or a related field.

 

What Makes You Stand Out from the Crowd?

• Direct experience designing or scaling test data systems in an AVL-based dyno lab.
• Work experience in the EV or automotive industry.
• Proven ability to interface and automate reporting from AVL CONCERTO or export data to enterprise platforms.
• Familiarity with test lab asset management and metadata tracking.
• Passion for supporting electric powertrain development through reliable and insightful test data infrastructure.

Compensation Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)Base Pay Range (hourly)$119,400—$164,230 USD

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