Full-Stack Engineer for Enterprise Data Dashboards

Fractal; New York (NY); On-site; USD 110,000 - 130,000; Full time

Job summary

Fractal is seeking a Fullstack Engineer to build end-to-end Data-to-Decision systems, collaborating with Data Scientists, Data Engineers, Product Owners, and UX specialists. You will design backend services, build intuitive UI experiences, and contribute to scalable production-ready systems.

Responsibilities include designing and maintaining frontend and backend components, integrating ML outputs into UI workflows, and creating dashboards for business stakeholders.

Qualifications

• 3–6 years of hands-on experience building and deploying fullstack applications at enterprise scale.
• Experience designing, building, and consuming REST APIs.
• Experience with PySpark data processing.
• Familiarity with CI/CD in Azure environments.
• Strong SQL and data modeling skills.

Responsibilities

• Design, develop, and maintain frontend and backend components across multiple enterprise-grade platforms.
• Integrate machine learning and analytics outputs from backend REST APIs into responsive UI workflows.
• Build dynamic dashboards, data visualizations, and interactive UI components for business stakeholders.
• Participate in UAT, debug cross-system issues, and resolve performance bottlenecks.
• Diagnose and troubleshoot bugs, API failures, and application integration issues.
• Develop documentation for APIs, application workflows, and system integrations.
• Collaborate with DS/DE teams on data pipelines where needed, especially involving PySpark data processing.

Skills

Python

Node.js

Java

REST APIs

SQL

Azure

CI/CD

Git

Tools

PySpark

Azure DevOps

Azure Synapse

Data Factory

Job description

Fractal is seeking a Fullstack Engineer to build end-to-end Data-to-Decision systems, collaborating with Data Scientists, Data Engineers, Product Owners, and UX specialists. You will design backend services, build intuitive UI experiences, and contribute to scalable production-ready systems.

Responsibilities include designing and maintaining frontend and backend components, integrating ML outputs into UI workflows, and creating dashboards for business stakeholders.