Data Platform & Visualization Engineer (Contractor)
We are seeking a contractor to help build and evolve our internal data platform that supports vehicle testing, experimentation, and machine learning workflows.
This role focuses on implementing and extending data ingestion pipelines, automated processing workflows, metrics tracking systems, and web-based visualization tools under the guidance of the team.
You will work with existing systems and well-defined components, contributing features and improvements that are used directly by researchers.
What You ll Do
- Implement and extend data ingestion and processing workflows for large, heterogeneous datasets collected from vehicle tests and ML pipelines.
- Contribute to improving orchestration, scheduling, and reliability of long-running data workflows operating under real-world constraints.
- Integrate downstream automation such as metric computation, plotting, and LLM-based postprocess tooling.
- Implement backend services and APIs that support data indexing, metadata management, and experiment tracking.
- Build user-facing web-based tools and dashboard that allow users to browse datasets, inspect results, and understand experimental progress over time.
- Work with a SQL-backed database to store metrics, experiment metadata, and summaries, ensuring the data can be queried and accessed consistently across systems.
- Contribute to data traceability and provenance mechanisms that capture how datasets are generated, transformed, and consumed in ML workflows.
What We re Looking For
- Experience with Python for backend services, data pipelines, and automation.
- Working knowledge of SQL, including writing queries and understanding database schemas.
- Experience building web-based tools, including:
- Backend APIs (e.g., FastAPI, Flask, or similar)
- Frontend applications using React or other modern frameworks
- Familiarity with AWS and cloud-based storage or services.
- Comfortable working in Linux environments
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