Data Platform & Visualization Engineer

Position Overview

 ServicePoint is seeking a Data Platform & Visualization Engineer to support a client engagement with Eplus at Toyota Research Institute. This role will focus on building and enhancing an internal data platform that supports vehicle testing, experimentation, and machine learning workflows.

The ideal candidate will contribute to the development of data ingestion pipelines, automated processing systems, metrics tracking, and web-based visualization tools. This role involves working with established systems and components while delivering enhancements that directly support research and development teams. CANDIDATES MUST RESIDE IN THE SAN FRANCISCO BAY AREA, CA

Key Responsibilities

• Design, implement, and enhance data ingestion and processing workflows for large, complex datasets generated from vehicle testing and machine learning pipelines
• Improve orchestration, scheduling, and reliability of long-running data workflows operating in real-world environments
• Integrate downstream automation processes, including metric computation, visualization, and LLM-based post-processing tools
• Develop backend services and APIs supporting data indexing, metadata management, and experiment tracking
• Build user-facing dashboards and web applications to enable data exploration, results analysis, and experiment tracking
• Manage and optimize SQL-based databases for storing metrics, metadata, and experiment summaries
• Ensure data consistency, accessibility, and integrity across systems
• Contribute to data traceability and provenance frameworks, documenting how datasets are generated, transformed, and utilized

Required Qualifications

• Strong experience with Python for backend development, data pipelines, and automation
• Working knowledge of SQL, including query development and database schema understanding
• Experience developing web-based applications, including:
• Backend APIs (e.g., FastAPI, Flask, or similar frameworks)
• Frontend development using React or similar modern frameworks
• Familiarity with AWS and cloud-based storage/services
• Comfortable working in Linux environments

Preferred Qualifications

• Experience with machine learning experiment tracking tools
• Knowledge of data provenance and lineage systems
• Familiarity with workflow orchestration frameworks
• Experience with advanced data visualization techniques
• Exposure to LLM-based automation tools
• Experience deploying Python services in cloud environments

Additional Information

This job description is intended to outline the general responsibilities and qualifications for the role and is not an exhaustive list of all duties.

Equal Opportunity Statement

ServicePoint is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected status in accordance with applicable laws.

ServicePoint is also committed to providing reasonable accommodations to individuals with disabilities. If you require accommodations during the application or interview process, please communicate your needs as early as possible.