AI-Powered BI Engineer for Interactive Dashboards

Socket.dev

Arlington (VA)

On-site

USD 82,000 - 144,000

Full time

6 days ago
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Job summary

Amazon Web Services (AWS) in Arlington, VA is seeking a Business Intelligence Engineer to design interactive, AI-augmented reporting experiences. You will build lightweight web apps with HTML/CSS/JS and React, design serverless APIs with AWS Lambda, and transform data with SQL and Python to power leader-focused views.

You’ll collaborate with data engineers and product leaders, contribute to testing, and integrate LLM capabilities to generate narratives and insights.

Qualifications

  • 1+ years of experience with Python/SQL and building web interfaces.
  • Experience writing SQL and creating BI reports with Tableau/Power BI.
  • 1+ years building web UIs with HTML/CSS/JavaScript and a modern framework.

Responsibilities

  • Design and build interactive reporting experiences as lightweight web apps.
  • Build and consume serverless APIs (AWS API Gateway, Lambda, Python).
  • Contribute to tests covering rendering, state behavior, and user flows.
  • Model and transform data (SQL, Python) to power experiences.
  • Integrate generative AI capabilities into reporting surfaces.
  • Use AI-assisted tooling to accelerate delivery and establish best practices.
  • Partner with data engineers, PMs, and leaders to translate needs into tools.
  • Contribute to design systems for consistency with the team.

Skills

Python
SQL
JavaScript/React
HTML/CSS
Data visualization
LLM integration
AWS services

Education

Bachelor's degree in CS/Engineering/Analytics

Tools

AWS API Gateway
Lambda
React
Jest/RTL/Playwright

Job description

Amazon Web Services (AWS) in Arlington, VA is seeking a Business Intelligence Engineer to design interactive, AI-augmented reporting experiences. You will build lightweight web apps with HTML/CSS/JS and React, design serverless APIs with AWS Lambda, and transform data with SQL and Python to power leader-focused views.

You’ll collaborate with data engineers and product leaders, contribute to testing, and integrate LLM capabilities to generate narratives and insights.

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