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Tailored Brands, Inc. Logo

Sr Full Stack Data Engineer

Tailored Brands, Inc.

$106,800 - $177,900
Sep 11, 2025
Dublin, CA, US
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Tailored Brands is looking to hire a Senior Full Stack Data Engineer to lead the design and development of robust, scalable web applications and data solutions, playing a key role across the entire stack from front-end interfaces to back-end services and data pipelines.

Requirements

  • 8+ years of professional experience in full-stack software development.
  • Java: 8+ years of experience building scalable, enterprise-grade applications using Java and frameworks like Spring Boot.
  • React/Next.js: 4+ years of hands-on experience with React/Next.js, including expertise in hooks, state management (e.g., Redux, Context), responsive design, and component-based architecture.
  • Node.js: 4+ years of experience building backend services using Node.js, including developing RESTful and GraphQL APIs.
  • Databases: Hands-on experience with relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g., MongoDB) databases, including schema design, query optimization, and transactions.
  • 2 + years of experience with Snowflake, including writing advanced SQL queries, creating UDFs, and building data pipelines using Snowpark and DBT.
  • Cloud & DevOps: Hands-on experience with major cloud platforms (AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes).

Responsibilities

  • Full-Stack Application Development: Architect, design, and implement end-to-end web applications, leading development across both the front-end (React/Next.js) and back-end (Java/Node.js).
  • Back-End Engineering (Java): Develop high-performance Java-based systems, including microservices and APIs, Focus on scalability, maintainability, and system architecture.
  • Front-End Development (React/Next.js): Build interactive and responsive UIs with clean, modular code. Ensure a seamless user experience and performance optimization.
  • Node.js Services: Design and implement efficient, event-driven services using Node.js. Prioritize reliability and efficient performance under load.
  • Data Engineering & Pipelines: Develop and optimize data pipelines using Snowflake SQL, DBT, and GCP/AWS Dataflow. Build UDFs and use Snowpark for advanced processing.
  • Code Quality & Best Practices: Lead and participate in code reviews. Promote clean code principles, testing strategies, and continuous integration/deployment (CI/CD).
  • System Performance & Scalability: Continuously optimize applications and databases for speed and efficiency, ensuring systems can scale to meet growing demand.

Other

  • Flexible work opportunities, including remote and hybrid options
  • Small, empowered teams that have fun delivering real value for our customers
  • A culture that values a 50-year legacy while eagerly embracing the future
  • Cross-Functional Collaboration: Partner with product managers, designers, QA, and other engineers and stakeholders to deliver impactful features and solutions.
  • Agile Development: Actively contributes to agile processes including sprint planning, retrospectives, and team-wide process improvements.