Full Stack Engineer

Lakefusion; Frisco (TX); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A leading data management company in Frisco is seeking a skilled Full Stack Developer to design and develop scalable web applications that support intelligent data solutions and next-gen enterprise systems. The role requires 5+ years of full-stack development experience and proficiency with front-end frameworks like React or Angular, as well as back-end technologies including Node.js or Java. Join a fast-moving team focused on innovation and user experience, with opportunities for collaboration across product and design teams.

Qualifications

• 5+ years of full-stack development experience.
• Experience with front-end frameworks like React, Angular, or Vue.js.
• Back-end expertise in Node.js, Java, or Python.
• Solid understanding of RESTful APIs and system architecture.
• Experience with SQL and NoSQL databases.
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud.

Responsibilities

• Design, develop, and maintain secure and scalable full-stack applications.
• Collaborate with product, design, and data teams for robust solutions.
• Write clean, efficient, and well-documented code across the stack.
• Develop and integrate APIs and services.
• Troubleshoot issues and optimize existing systems.
• Participate in code reviews and sprint planning.

Skills

Full-stack development

React

Angular

Vue.js

Node.js

Java

Python

RESTful APIs

SQL

NoSQL

AWS

Azure

Google Cloud

Debugging

Problem-solving

Communication

Tools

Docker

Kubernetes

Jenkins

Job description

Full Stack Developer to build scalable web apps, driving intelligent data solutions and next-gen enterprise systems.

Frisco Analytics seeks a highly skilled Full Stack Developer to join our growing engineering team. This role offers the opportunity to design and build modern, scalable web applications that support intelligent data solutions and power next-generation enterprise systems. You’ll be part of a collaborative, fast-moving team focused on innovation, quality, and user experience.

What you’ll do

• Design, develop, and maintain full-stack applications that are secure, scalable, and high-performing
• Collaborate with product, design, and data teams to deliver robust and elegant solutions.
• Write clean, efficient, and well-documented code across the stack (frontend and backend)
• Develop and integrate APIs, services, and external systems
• Troubleshoot issues and optimize existing systems for better performance
• Participate in code reviews, technical discussions, and sprint planning
• Stay current with the latest tools, frameworks, and trends in web development

What We're Looking For

• 5+ years of full-stack development experience
• Experience with front-end frameworks like React, Angular, or Vue.js
• Back-end expertise in Node.js, Java, or Python
• Solid understanding of RESTful APIs, integration patterns, and system architecture
• Experience with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases
• Proficiency with cloud platforms such as AWS, Azure, or Google Cloud
• Excellent debugging, problem-solving, and communication skills

Nice-to-Have

• Background in data modeling, data integration, or data governance
• Familiarity with DevOps tools like Docker, Kubernetes, or Jenkins
• Experience with CI/CD pipelines and agile development practices
• Understanding of modern identity/access management and security best practices

About Company

LakeFusion is the modern Master Data Management (MDM) company. Global enterprises across industries ranging from retail to manufacturing and financial services rely on the LakeFusion platform to unify, govern, and deliver trusted data entities such as customers, products, suppliers, and employees. Built natively on the Databricks Lakehouse, LakeFusion creates a single source of truth that powers analytics and AI. LakeFusion enables organizations worldwide to accelerate innovation with trusted and governed data.

Insights on master data management, Databricks, and building AI-ready data platforms—delivered occasionally, without the noise.