Data Engineer V

TheCorporate LLC; Oakland (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

TheCorporate LLC in Oakland is seeking a Data Engineer V to design and build scalable full-stack data solutions. Hybrid work with on-site as needed, strong frontend in React/TypeScript and backend in Java/Node.js, plus Python/PySpark for ETL.

The role emphasizes design systems, reusable components, REST APIs, and collaboration in Agile teams to deliver reliable, secure applications across the stack.

Qualifications

• Strong front-end expertise with React and TypeScript.
• Experience building design systems and reusable components.
• Backend development with Java and Node.js/Express.
• Python and PySpark for ETL and data pipelines.
• Familiar with Agile/Scrum processes and iterative delivery.
• Understanding of RESTful APIs and scalable architectures.

Responsibilities

• Develop modern front-end applications using React, TypeScript, and reusable components.
• Build and maintain design systems, UI libraries, and consistent UI/UX.
• Design, develop, and optimize backend services with Java and Node.js/Express.
• Develop data processing workflows and ETL pipelines with Python and PySpark.
• Participate in Agile/Scrum ceremonies and sprints.
• Collaborate with product owners, designers, and cross-functional teams.
• Contribute to architectural discussions, reviews, and long-term strategy.
• Ensure code quality, performance, reliability, and security.
• Support production systems and improve stability.

Skills

React

TypeScript

Design systems

Reusable components

Java

Node.js/Express

Python

PySpark

Agile/Scrum

REST APIs

CI/CD

Git

Cloud platforms

Tools

Docker

Kubernetes

AWS/GCP/Azure

Job description

Job Title: Data Engineer V

Location: Oakland, California (Hybrid)

Duration: August 31, 2026 -- December 31, 2026

Account Manager Notes:

Position will be remote but requires candidates to be onsite when needed.

Overview :

We are seeking a Full Stack Engineer who is experienced in building scalable, high?quality applications across the stack. The ideal candidate has strong front?end expertise with React, design systems, and reusable component development, along with backend capabilities in Java, Node.js/Express, Python, and PySpark. Experience working in Agile/Scrum environments is essential.

Key Responsibilities

• Develop modern front?end applications using React, TypeScript, and reusable component architectures.
• Build and maintain design systems, UI component libraries, and consistent UI/UX patterns across products.
• Design, develop, and optimize backend services using Java (Spring Boot or similar) and Node.js/Express.
• Develop data processing workflows and ETL pipelines using Python and PySpark.
• Participate in Agile/Scrum ceremonies, including sprint planning, backlog refinement, and iterative development cycles.
• Collaborate with product owners, designers, and cross?functional teams to translate business requirements into technical solutions.
• Contribute to architectural discussions, code reviews, and long?term engineering strategy.
• Ensure code quality, performance, reliability, and security across the entire application stack.
• Support production systems, troubleshoot issues, and continuously improve application stability.

Required Skills & Experience

• Strong proficiency with React, TypeScript, and component?driven development.
• Hands?on experience building design systems and reusable component libraries.
• Solid backend development experience using Java and Node.js/Express.
• Proficiency in Python and PySpark for data pipelines and batch processing.
• Experience working in Agile/Scrum teams and contributing to iterative delivery.
• Understanding of RESTful API design, distributed systems basics, and scalable architectures.
• Familiarity with CI/CD pipelines, Git workflows, and cloud platforms.
• Clear communication skills and comfort collaborating with multidisciplinary teams.

Preferred Qualifications

• Experience with Storybook, design tokens, accessibility standards, or UI governance.
• Background in building internal developer tools or platform engineering solutions.
• Familiarity with containerization (Docker), Kubernetes, or cloud ecosystems (AWS, GCP, Azure).
• Experience with data orchestration tools or advanced ETL frameworks.