Full Stack Engineering

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

About the role

As a Fullstack Engineer, you will help build end-to-end Data-to-Decision systems, working closely with Data Scientists, Data Engineers, Product Owners, and UX specialists. You will design backend services, build intuitive UI experiences, and contribute to highly scalable, production-ready systems.

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.

Requirements

3–6 years of hands-on experience building and deploying fullstack applications at enterprise scale.

Skills

Backend Proficiency

• Expert-level proficiency in Python (3.4+)
• Strong experience with at least one backend stack: Python / Node.js / Java / Ruby / PHP / .NET
• Designing, building, and consuming REST APIs.
• Experience with PySpark for:
  • Distributed data processing
  • Transformations and ETL workflows
  • Integration with analytics pipelines
  • Optimizing Spark jobs and performance tuning
• Familiarity with CI/CD pipelines, particularly in Azure Cloud environments.
• Python and/or Java application development
• API development (REST, HTTP, JSON, authentication patterns)
• Advanced SQL (complex queries, DDL, data modeling, performance tuning)

Microsoft Azure

• Functions
• Synapse
• Data Factory
• Azure DevOps
• CI/CD and Git

.NET experience (preferred)

Nice-to-Have Skills

• Snowflake or Databricks
• Data quality and validation frameworks
• PySpark and distributed data processing

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. A reasonable estimate of the current range is $110,000 to $130,000 yearly. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits

• Health, dental, vision, life insurance, and disability plan eligibility from the first day of employment.
• Eligibility to participate in the Company 401(k) Plan after 30 days of employment.
• 11 paid holidays.
• 12 weeks of Parental Leave.
• “Free time” PTO policy, allowing flexibility for sick time or vacation.