Senior AI Data Engineer

Job Posting Title:

Senior AI / Data Engineer

Req ID:

Job Description:

We Power the Magic! Thats our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Companys premier vacation brands including Disneys 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 (DAi) 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 Disneys premier vacation brands. 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 pattern that fits. This role goes well beyond ETL. As a Data Engineer III you will engineer AI-powered applications end to end from architecture and design through build and delivery using our 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: weighing tradeoffs designing for performance and scale and building solutions that hold up over time. You will also work directly with our partners in Data Strategy and AI Innovation fellow teams under the DAi umbrella 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 capabilities available to us evolve constantly and we need engineers who stay curious adapt quickly and figure out how to put new capabilities to work rather than wait for the ground to settle.

What Youll Do:

• Contribute to the design construction and supervision of technology architecture solutions and software dedicated to capturing managing and using both structured and unstructured data from various sources

• Develop efficient processes and structures based to streamline data flow routing and storage adhering to both business and technical specifications and leveraging cloud and local storage options as required

• Apply technical tools and programming skills for the purposes of data cleansing organization transformation and upkeep 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 software and systems ensuring seamless data compatibility functionality and integrity across all data connections transmissions and storage platforms

• Evaluate internal and external business and product requirements to ensure alignment of data operations and endeavors with overarching organizational objectives and priorities

• You will be expected to stay up to date with emerging technologies

• May be required to provide support escalation oversee the ongoing operations and support the enhancement of existing tools as needed

Required Qualifications:

• Minimum 5 years of related work experience

• Proficiency in fundamentals of data pipelining ELT/ETL processes data architecture and the overall data lifecycle complemented by hands-on experience in designing and implementing efficient data workflows and processes

• Strong development skills in cross-platform languages such as SQL Python Java and Apache Spark coupled with a deep understanding of SQL/TSQL for crafting performant queries and extracting insights from complex datasets

• Experience with both relational database and NoSQL databases (e.g. Cloudera Data Platform Snowflake Google Big Query MongoDB DynamoDB Redis HBase Cassandra ) demonstrating competence in working with diverse storage systems and optimizing data structures for enhanced performance and scalability

• Familiarity with cloud technologies including AWS and Google Cloud Platform (GCP) demonstrating their powerful toolsets for seamless data ingestion processing and management

• Comfortable working in an agile environment with prior experience in Agile and Scrum methodologies ensuring adaptability to evolving project requirements and effective collaboration with cross-functional teams

• Proficiency in Object Oriented Programming and Big Data Engineering Concepts with a proactive demeanor towards continuous learning and skill development and an interest in mastering emerging data engineering tools and methodologies

Preferred Qualifications:

• AI & Application Development - Hands-on experience building AI-powered applications ideally on an internal or managed AI framework (agentic workflows LLM integration retrieval-augmented generation and orchestration/tooling patterns such as MCP)

• Languages & Engineering - Strong Python proficiency with sound software engineering practices (modularity testing code review); SQL/TSQL for performant query design

• Modern Data Platform - Experience with lakehouse architectures (open table formats such as Apache Iceberg on object storage) and cloud data warehousing/compute (Snowflake)

• Data Processing - Spark Glue Flink or equivalent distributed processing frameworks; orchestration tooling (e.g. Airflow)

• Cloud (AWS preferred) - Core AWS data and compute services such as S3 Lambda Glue Kinesis DMS and EventBridge

• CI/CD & DevOps - Pipeline automation with GitLab GitHub or Jenkins; containerization with Docker and orchestration (ECS/EKS)

• Security - IAM roles KMS wire encryption and enterprise auth (OAuth2/SAML Active Directory)

Required Education:

• Bachelors degree in Computer Science Information Systems Software Electrical or Electronics Engineering or comparable field of study and/or equivalent work experience

#DISNEYTECH

The hiring range for this position in Orlando FL is $135200 - $181200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates geographic region job-related knowledge skills and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package in addition to the full range of medical financial and/or other benefits dependent on the level and position offered.

Job Posting Segment:

Marketing

Job Posting Primary Business:

Consumer Insight-Measure & Analytics

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City State Region Postal Code:

Celebration FL USA

Alternate City State Region Postal Code:

Date Posted:

Required Experience:

Senior IC