Data Engineer

Requirements

• 3+ years of experience in data engineering, data platform development, or backend engineering roles
• Strong experience implementing federated data access solutions and unified query layers
• Proficiency with GraphQL for building semantic data interfaces and APIs
• Hands-on experience with cloud data platforms such as Snowflake, Databricks, PostgreSQL, or S3
• Proficiency using Python and SQL for data integration and transformation tasks
• Experience working with heterogeneous and federated data sources, including streaming platforms like Kafka
• Familiarity with semantic technologies, knowledge graphs, or ontology-driven architectures
• Familiarity with vector databases and/or graph databases (e.g., Qdrant, Neo4j, or Amazon Neptune)
• Experience building or maintaining data pipelines and integration processes to support semantic and AI use cases
• Understanding of RAG architectures, embeddings, and LLM-augmented data access patterns
• Experience working in multi-environment setups (Dev, QA, Prod) with DevOps practices and source control (Git)
• Understanding of data modeling, query optimization, and API development
• Hands-on experience with vector databases or graph databases
• Experience with semantic layers, knowledge graphs, or ontology-driven data architectures
• Experience working with federated query engines (e.g., Trino/Presto, Apache Iceberg)
• Experience with data orchestration tools such as Apache Airflow or Apache Flink
• Experience working with GenAI APIs or frameworks (e.g., OpenAI, LangChain, AWS Bedrock)
• Knowledgeable on cloud architecture and product offerings, preferably AWS
• Experience leveraging containerization technologies such as Docker or Kubernetes
• Demonstrated proficiency with API development
• Business knowledge with media, entertainment, or hospitality
• Required Education
• Bachelor's degree in computer science , Information Systems, Software, Electrical or Electronics Engineering , or comparable field of study an d/or equivalent work experience
• Preferred Education
• Master's degree in computer science , Information Systems, Software, Electrical or Electronics Engineering , or comparable field of study an d/or equivalent work experience
• #DISNEYTECH
• #DisneyAnalytics
• Job Posting Segment:
• Corporate Strategy
• Job Posting Primary Business:
• Decision Science & Integration
• Primary Job Posting Category:
• Data Engineering
• Employment Type:
• Full time
• Primary City, State, Region, Postal Code:
• Lake Buena Vista, FL, USA
• Alternate City, State, Region, Postal Code:
• Date Posted:
• 2026-06-25

Benefits

Additional Information

Job Posting Title: Data Engineer Req ID: 10153225 Job Description: The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

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