Senior AI / Data Engineer

The Walt Disney Company • Celebration, FL

1d • $135,200 - $181,200 • Onsite

About The Position

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 Disney's 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. 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.

Requirements

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

Nice To Haves

• 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)

Responsibilities

• 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
• Stay up to date with emerging technologies
• Provide support escalation, oversee the ongoing operations, and support the enhancement of existing tools as needed

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior