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
The Data Engineering team at Disney Decision Science and Integration (DDSI) builds and maintains data pipelines and systems that power advanced analytics and AI-based solutions.
Responsibilities
- Deliver data pipeline and data engineering services across development, sustainment, ad-hoc requests, prototyping, and research initiatives
- Partner with business, science, and technology teams to clarify scope, requirements, and data needs across the Disney company
- Design and implement data pipelines that support analytics, visualizations, and application use cases
- Develop, enhance, and deploy systems for advanced analytic data solutions
- Perform data aggregation and manipulation so datasets are usable by science models, visualizations, and applications
- Use GenAI tools to improve efficiency and deliver AI-based solutions
- Explore and integrate GenAI tools and techniques into data engineering workflows to enhance automation and analytical capabilities
- 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 expertise 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 in multiple environments (Dev, QA, Prod) and using DevOps practices for code deployment and promotion
- Strong understanding of database and data warehouse design
- Proficiency with data platforms such as PostgreSQL or Snowflake
- Experience managing and deploying code using source control such as GitLab or GitHub
- Ability to formulate solutions and communicate complex technical ideas 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 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 a comparable field of study and/or equivalent work experience
Location: Lake Buena Vista, FL (onsite)
Salary: USD 106,900 - 143,300 per year
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