Data Engineer
Apache Airflow
Artificial Intelligence
Automation
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Operations
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
ETL
Informatica
Information Technology (IT)
Integration
Programming
Snowflake
Spark
SQL
Workflow Orchestration
Job Description
Join the Data Engineering team at Disney Decision Science and Integration (DDSI) to build and maintain data pipelines that power advanced analytics and AI-based solutions.
Responsibilities
- Deliver data pipeline and data engineering services across development and sustainment projects, ad-hoc requests, prototyping, and research initiatives
- Partner with business, science, and technology teams to define scope, requirements, and data needs across the Disney organization
- Design, develop, enhance, and implement systems for advanced analytic data solutions
- Aggregate and manipulate data to support science models, visualizations, and applications
- Use GenAI tools to improve efficiency and support AI-based solution delivery
- Assist in exploring and integrating GenAI tools and techniques into data engineering workflows to enhance automation and analytical capabilities
- Learn business domain and process knowledge, then apply it to assigned deliverables
Requirements
- 3+ years of experience in technology roles, preferably focused on data engineering
- Strong experience building and maintaining ELT/ETL data pipelines
- Experience with source-to-target mapping
- 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 gather data requirements and design data solutions
- Experience developing across multiple environments (Dev, QA, Prod) and applying DevOps procedures for code deployment and promotion
- Strong understanding of database and data warehouse design
- Experience with data platforms such as PostgreSQL or Snowflake
- Experience managing and deploying code with source control tools like GitLab or GitHub
- Ability to formulate solutions and communicate complex technical concepts to non-technical teammates
- Proven capability working collaboratively 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, or AWS Bedrock
- Knowledge of theme parks, streaming, merchandise, or other related business domains
- Experience working with large datasets and big data technologies such as Snowflake, Databricks, or similar
- Demonstrated proficiency with API development
- Experience with 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 comparable field of study and/or equivalent work experience
Location: Lake Buena Vista, FL (onsite)
Salary: USD 106,900 - 143,300 per yearly
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