Senior AI / Data Engineer
Job Summary:
“We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.
We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney!
This role sits in the (DAI) “Data Analytics & Innovation” organization within (DXi) “Disney Experiences Intelligence.
The Data Engineer III role, will report to the Senior Manager, Data Services.
About The Role & Team:
The Data Analytics & Innovation (DAx) team within Disney Experiences Intelligence (DXi) builds and operates the data platforms, AI-powered applications, and intelligence systems that turn raw data into insight and action across Disney's premier vacation packages. We are actively modernizing onto a cloud-native data platform while building AI applications from the ground up on our internal AI frameworks.
We are looking for an engineer first. Someone who can sit with an ambiguous, complex problem, listen carefully to what the business actually needs, and design an optimized solution rather than reach for the first technology that fits. This role goes well beyond the basic data pipelines. As a Data Engineer III, you will engineer AI-powered applications end to end, using the AI frameworks as the foundation.
You will bring core data disciplines (pipelining, transformation, and the full data lifecycle) and apply them with strong engineering judgment: evaluating tradeoffs, designing for performance and scale, and building solutions that hold up over time. You will also work directly with our partners and the team to align on priorities and turn strategy into working solutions. Just as important, you will thrive in an AI-powered environment that changes daily. The tools, frameworks, and new technologies available to you evolve constantly, and we need engineers who stay focused on the goal.
What You'll Do:
- Contribute to the design, construction, and supervision of the data solutions and software dedicated to capturing, managing, and using both structured and unstructured data from various sources
- Develop and maintain the systems to optimize data flow, routing, and storage, adhering to both business and technical specifications, and leveraging cloud and local storage
- Apply technical tools and programming skills for data cleansing, organization, transformation, and quality, integrating automation and advanced methodologies such as big-data, artificial intelligence, and machine learning
- Uphold design standards and quality assurance protocols for the development of the data solutions, ensuring seamless data compatibility, functionality, and integrity
- Evaluate internal and external business requirements to ensure alignment of data operations with overall objectives
- You will be expected to stay up to date with emerging technologies
- May be required to provide support for the ongoing operation and enhancement of existing tools
Required Qualifications:
- Minimum 5 years of related work experience
- Proficiency in data engineering concepts and the data lifecycle
- Strong development skills in SQL, Python, Java, and Apache Spark
- Experience with relational and NoSQL databases
- Familiarity with cloud technologies including AWS and Google Cloud
- Comfortable working in an agile environment
- Strong problem-solving and collaboration skills
Preferred Qualifications:
- AI & Application Development - Hands-on experience building AI-powered applications
- Languages & Engineering - Strong Python proficiency with software engineering practices
- Modern Data Platform - Experience with modern data platform technologies
- Data Processing - Experience with distributed processing frameworks and tools
- Cloud (AWS preferred) - Experience with core AWS data and compute services
- CI/CD & DevOps - Pipeline automation and containerization
- Security - IAM roles, security best practices
Required Education:
- Bachelor’s degree in Computer Science, Information Systems, Software, or equivalent work experience
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