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Disney Entertainment & ESPN Technology Logo

Data Engineer II

Disney Entertainment & ESPN Technology

Salary not specified
Sep 18, 2025
Orlando, FL, USA
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Disney Experiences (DX) is looking for a Data Engineer to help build scalable solutions for their data platforms, powering guest interactions and experiences across various lines of business.

Requirements

  • 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
  • Demonstrating ability to contribute across multiple phases of development for complex projects, including technical design, implementation, and end-to-end testing, ensuring the successful delivery of data engineering solutions
  • Proficiency in SQL, Python, AWS services (e.g. IAM, S3, Kinesis Data Stream, Kinesis Firehose, Lambda, DynamoDB, DMS), with a proactive demeanor towards continuous learning and skill development, and an interest in mastering emerging data engineering tools and methodologies
  • Expertise coding and developing solutions that solve complex problems, while keeping in mind code space and time complexity
  • Proficiency in DevOps practices, e.g.,: CI/CD, docker, testing, and automation
  • Understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc)
  • Experience developing real-time data processing using Apache Flink

Responsibilities

  • Assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources
  • Support the development of processes and structures to efficiently channel, route, and store data considering business and technical requirements, and utilizing cloud and local storage solutions as necessary
  • Contribute to applying technical tools and programming for data cleansing, organization, transformation, and maintenance, with a focus on incorporating automation and advanced techniques like big data, artificial intelligence, and machine learning
  • Participate in establishing design standards and assurance processes for software and systems development to ensure data compatibility, operability, and integrity throughout data connections, flows, and storage systems
  • Collaborate on reviewing internal and external business and product requirements to align data operations and activities with organizational objectives and needs
  • You will be encouraged to stay up to date with emerging technologies
  • May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed

Other

  • Minimum 3 years of related work experience
  • Passionate about delivering data engineering projects collaboratively, with a strong commitment to achieving team goals
  • Effective troubleshooting skills, capable of identifying and resolving sophisticated issues with sound judgment and initiative
  • Adaptable to agile environments, comfortable with changing requirements and effective collaboration across teams
  • Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience