Full-Stack Data & Metrics Engineer Intern

Plus 2

Santa Clara (CA)

On-site

USD 140,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Catered free lunch
Unlimited snacks and beverages
401(k) plan
Career development opportunities

Job summary

PlusAI is hiring a Senior Full-Stack Engineer to build a Metrics Visualization Hub that spans frontend dashboards and backend data services. You will implement low-latency access through caching and pre-aggregation, and refactor data pipelines to scale metrics, route analytics, and health checks for engineering and operations teams.

Join a team applying Python, FastAPI, React, and SQL to large time-series datasets in the autonomous-vehicle domain.

Qualifications

  • Experience building end-to-end web apps with React/TypeScript and Python/FastAPI.
  • Solid Python and SQL skills for data pipelines.
  • Experience with caching & pre-aggregation for low latency.
  • Experience with large datasets and time-series data.
  • Hands-on PySpark for distributed processing.
  • Familiarity with autonomous vehicles or robotics data.

Responsibilities

  • Build the Metrics Visualization Hub end-to-end: frontend dashboards through backend services.
  • Deliver Low-Latency Data Access with caching and pre-aggregation.
  • Optimize the Metrics Calculation Pipeline for throughput, cost, and correctness.
  • Develop the Metrics Validation Process to gate bad data before downstream use.

Skills

Full-Stack Web Development
Backend & Data Pipelines
Performance & Scalability
Large Datasets & Time-series
Distributed Processing (PySpark)
Autonomous Vehicles Domain

Tools

React
TypeScript
Python
FastAPI
SQL
PySpark

Job description

PlusAI is hiring a Senior Full-Stack Engineer to build a Metrics Visualization Hub that spans frontend dashboards and backend data services. You will implement low-latency access through caching and pre-aggregation, and refactor data pipelines to scale metrics, route analytics, and health checks for engineering and operations teams.

Join a team applying Python, FastAPI, React, and SQL to large time-series datasets in the autonomous-vehicle domain.

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