SWE - Data Analytics & full stack

Overview

On Site
Contract - W2

Skills

Node.JS
Reactjs
BigQuery
Mysql
workflows
FastAPI
Postgresql
reliability
automation
Predictive Data Analysis
Flask (Web Framework)
Pandas
Data Modelling
NumPy
Scikit Learn
Quality Management
AngularJS
Data Visualisation
Integrated Systems
Looker Analytics
Plotly
Reliability of Systems
Research Skills
Tableau (Software)
Telemetry
Visualisation

Job Details

Position Details

Requirement

No of Positions

1

Role

SWE - Data Analytics & full stack

Location

San Jose, CA Onsite

Type of Hire - Contract/ C2H

Contract

Duration

6 months

Number of Interviews

AI + L1+ Client

In person interviews Yes/No

Video Conference

Client Interview Yes/No

Yes

No of submission

2-3 submissions

Timeline for submission

24 hours

Position requirements

Onsite

Job Description

 . Key Responsibilities
  • Investigate and analyze failures across software, hardware, and integrated systems to identify root causes and drive resolutions.
  • Work closely with engineering, QA, and reliability teams to detect, classify, and prevent recurring issues.
  • Use analytics and visualization to detect patterns, predict failures, and enhance system reliability.
  • Build internal full stack applications for failure tracking, data visualization, and workflow automation.
  • Collaborate with data scientists and reliability engineers to deploy predictive and diagnostic models in production.
  • Strong programming skills in Python, JavaScript/TypeScript, and SQL.
  • Experience building end-to-end solutions using React/Angular, Flask/FastAPI, or Node.js.
  • Hands-on experience with data analytics tools such as Pandas, NumPy, Scikit-learn, and visualization tools like Tableau, Looker, or Plotly.
  • Solid understanding of databases (MySQL, PostgreSQL, BigQuery) and data modeling concepts.
  • Familiarity with Google Cloud Platform and CI/CD pipelines.
  • Experience analyzing logs, telemetry, or system-level data to diagnose issues and automate insights.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.