Full Stack Data Engineer (Data Engineering)

Company Description

WD is building the infrastructure behind the AI-driven data economy. As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in. We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide. This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today. We’re looking for people who want to build, solve, and operate at that level. Join us and let’s shape the future of data.

Job Description

• Building the user interface (UI) with HTML, CSS, and JavaScript frameworks. This ensures a visually appealing and interactive user experience.
• Creating the server-side logic using programming languages like Python, Java, or Node.js. This focuses on data processing, business rules, and interaction with databases.
• Designing and building APIs (Application Programming Interfaces) that facilitate communication between the front-end and back-end components, and potentially external systems.
• Setting up and managing databases to store and retrieve application data efficiently.
• Implementing unit tests, integration tests, and user acceptance testing (UAT) to identify and fix bugs throughout the development process.
• Deploying the application to a production environment and maintaining its functionality by fixing bugs, adding new features, and ensuring security updates
• Collaborate with cross-functional teams such as data engineers, business analysts, and decision-makers to understand requirements and deliver insights.
• Perform other duties as assigned.

Qualifications

REQUIRED:

• Bachelor's degree in Data Science, IT, Computer Science, Statistics, Engineering or equivalent experience
• At least 2 years of relevant experience.

PREFERRED:

• Design, develop, and maintain the entire application stack, giving them a deep understanding of how all the pieces work together. This makes them a single point of contact for technical discussions and troubleshooting
• Versatility and ability to bridge the gap between front-end and back-end development. This makes them valuable assets in building and maintaining web applications
• Their broad knowledge allows them to propose efficient and integrated solutions, considering both user experience and server-side functionality
• Work autonomously on projects, minimizing reliance on separate front-end and back-end specialists. This streamlines development and reduces communication overhead

SKILLS:

• Good in English proficiency (written and oral communication)
• Full‑stack Data Engineer: Advanced SQL (Presto/Trino, Spark, MS SQL), Python (Pandas, PySpark), ETL/ELT (Airflow), REST APIs, React frontend, Node/Python backend, multi-database (PostgreSQL, Redshift)