Senior AI Data Engineer - AI-Powered Data Platforms

Disney Experiences; Celebration (FL); On-site; USD 135,000 - 181,000; Full time

Job summary

Disney Experiences in Orlando, FL, is seeking a Data Engineer III to design end-to-end AI-powered data solutions. You will build and operate data platforms that turn raw data into actionable insights across Disney’s brands, collaborating with Data Strategy and AI Innovation teams to modernize on a cloud-native platform.

The role emphasizes engineering judgment, scalable pipelines, and hands-on work with SQL, Python, Spark, and cloud services (AWS/GCP).

Qualifications

• Minimum 5 years of related work experience.
• Strong data orchestration and ETL/ELT expertise.
• Experience with SQL, Python, Java, and Spark.
• Experience with relational and NoSQL databases (Snowflake, MongoDB, DynamoDB, Redis, HBase, Cassandra).
• Cloud experience with AWS and GCP; Agile/Scrum exposure.

Responsibilities

• Design, construct, and supervise data architecture for structured and unstructured data.
• Streamline data flow and storage using cloud and local options.
• Apply data cleansing, transformation, and automation with AI/ML techniques.
• Uphold standards and QA for data compatibility and integrity.
• Align data operations with strategic objectives.
• Stay current with emerging data technologies.

Skills

SQL

Python

Java

Apache Spark

ELT/ETL

Data Pipelines

AWS

GCP

Agile Scrum

OO Programming

Education

Bachelor’s degree in Computer Science / Information Systems / Software Engineering

Tools

Snowflake

MongoDB

DynamoDB

Redis

HBase

Cassandra

Cloudera Data Platform

Apache Iceberg

Job description

Disney Experiences in Orlando, FL, is seeking a Data Engineer III to design end-to-end AI-powered data solutions. You will build and operate data platforms that turn raw data into actionable insights across Disney’s brands, collaborating with Data Strategy and AI Innovation teams to modernize on a cloud-native platform.

The role emphasizes engineering judgment, scalable pipelines, and hands-on work with SQL, Python, Spark, and cloud services (AWS/GCP).