Data Engineer

The Data Engineering team at Disney Decision Science and Integration (DDSI) builds and maintains data pipelines and systems that enable advanced analytics and AI-driven solutions. This onsite role in Lake Buena Vista, FL supports development and sustainment work by aggregating, preparing, and operationalizing data for science models, visualizations, and applications, including automation improvements using GenAI tools.

Responsibilities

• Deliver data pipeline and data engineering services across development and sustainment efforts, ad-hoc requests, prototyping, and research initiatives
• Partner with business, science, and technology teams to clarify scope and requirements and to design data pipelines aligned to enterprise needs
• Develop, enhance, and implement systems that support advanced analytics solutions
• Aggregate and manipulate data so it is usable for science models, visualizations, and downstream applications
• Apply GenAI tools to improve efficiency and to deliver AI-based solutions
• Assist in exploring and integrating GenAI tools and techniques into data engineering workflows to improve automation and analytical capability
• Build understanding of business domain processes and apply that knowledge to assigned deliverables

Requirements

• 3+ years of experience in technology roles, preferably in data engineering
• Strong experience developing and maintaining ELT/ETL data pipelines
• Experience with source-to-target mapping
• Proven proficiency with Python and SQL
• Familiarity with GenAI concepts and tools, including LLMs, embeddings, and prompt engineering
• Ability to understand one or more business domains to support data requirements gathering and solution design
• Experience working across multiple environments (Dev, QA, Prod) and using DevOps procedures to deploy and promote code
• Strong understanding of database and data warehouse design
• Proficiency with data platforms such as PostgreSQL or Snowflake
• Experience managing and deploying code using a source control product such as GitLab or GitHub
• Ability to formulate solutions and communicate complex technical concepts to non-technical stakeholders
• Proven capability to collaborate in a multi-team environment

Technologies

• ELT, ETL
• Python, SQL
• LLMs, embeddings, prompt engineering
• PostgreSQL, Snowflake
• GitLab, GitHub
• DevOps, Apache Airflow
• OpenAI, LangChain
• AWS Bedrock
• Vector databases
• RAG (Retrieval-Augmented Generation) architectures
• API development, Docker, Kubernetes
• AWS, Databricks

Desired Qualifications

• Understanding of vector databases or RAG (Retrieval-Augmented Generation) architectures
• Experience with analytic systems
• Experience working with GenAI APIs or frameworks such as OpenAI, LangChain, and AWS Bedrock
• Knowledge of theme parks, streaming, merchandise, or other related business domains
• Experience with large datasets and big data technologies such as Snowflake, Databricks, or similar platforms
• Demonstrated proficiency with API development
• Experience leveraging data orchestration tools such as Apache Airflow
• Knowledge of cloud architecture and product offerings, preferably AWS
• Experience leveraging containerization technologies such as Docker or Kubernetes

Education

Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or a comparable field of study and/or equivalent work experience.

Location and Compensation

• Location: Lake Buena Vista, FL (onsite)
• Salary: USD 106,900 - 143,300 per year