Data Platform Software Engineer
Summary
Build and optimize data-intensive enterprise platforms using Firebase, Node.js, and TypeScript — collecting and analyzing large datasets, creating automated workflows, and tackling scalability, cost, and distributed-system challenges.
Design data-intensive platforms with Firebase, Node.js, and TypeScript while addressing scalability, cost, and enterprise data-handling challenges.
This Software Engineer position centers on infrastructure tailored to enterprise-level data handling and customer interaction. You will collect, aggregate, and analyze large datasets, implement data-management practices, and optimize distributed systems. The work also includes automated workflows, integration, and actionable insights.
Key Responsibilities:
- Design infrastructure for enterprise data handling
- Overcome scalability and cost challenges in applications
- Collect, aggregate, and analyze large datasets
- Implement data management and integration best practices
- Identify and resolve distributed-system issues
Requirements:
- 4+ years of full-stack engineering experience
- Experience automating and optimizing data-intensive platforms
- Experience creating automated workflows
- Proficiency with Firebase, Node.js, and TypeScript
- Experience resolving issues in distributed systems
Use data platform engineering, system integration, and performance analysis to support scalable enterprise applications and actionable insights.
