Senior Data Engineer
$135.2k - $181.2kThe Walt Disney Company
Job Posting Title:
Senior Data Engineer
10149269 Job Description: This role will be on-site at least 4 days per week for teamwork and collaboration! Department Description: At Disney, we're storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt's passion was to continuously envision new ways to move audiences around the world-a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences - and we're constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. The Global Information Security (GIS) organization strives to secure the magic by employing best-in-class services to assess, prevent, detect, and respond to cyber threats that present risk to The Walt Disney Company. We enable the business by integrating enterprise and business segment-specific supported services to create a robust, efficient, and adaptable cybersecurity program. Our key objectives are to:
- Secure the Magic by protecting information systems and platforms.
- Reduce Risk by proactively assessing, preventing, and detecting to prevent harm to the Company and our Guests.
- Strengthen the business through optimizing execution, application, and technology used to protect the Company.
- Innovate by investing in core capabilities to enhance operational efficiency.
- Lead the design, development, deployment, and operational ownership of scalable data pipelines and data warehouse solutions in a cloud environment, ensuring reliability, performance, and maintainability.
- Architect and evolve the data platform to support scalability, resiliency, and robust data validation frameworks, enabling high-quality, trusted data across the organization.
- Drive engineering excellence by establishing and enforcing best practices, including system design patterns, code quality standards, peer reviews, and comprehensive automated testing strategies.
- Design, implement, and manage cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices, enabling repeatable, secure, and scalable provisioning of data platform resources and supporting CI/CD automation for data workflows.
- Partner cross-functionally with product management, technical program management, operations, and engineering teams to align on priorities, translate business needs into technical solutions, and deliver data capabilities that support strategic initiatives.
- 5+ years of related experience in Cloud development crafting and implementing solutions using AWS services, with an understanding of core services: IAM, S3, ECS, Lambda
- Strong programming skills in Python and other object-oriented languages, including libraries such as boto3 and pydantic
- Experience designing and operating scalable, production-grade data pipelines (batch and/or streaming), including orchestration, monitoring, and failure recovery.
- Experience designing data models that support reporting, analytics, and downstream data products.
- Experience using source control systems (GitLab, GitHub) and CI/CD pipelines
- Experience building, maintaining and using container technologies, such as Docker, Kubernetes, AWS Fargate
- Experience working with IAC, such as Terraform, CloudFormation, AWS CDK
- Experience in SQL (Postgres, Snowflake, etc.) and understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc.)
- Experience with scripting using BASH, or SHELL
- Experience creating orchestration patterns and infrastructure using Apache Airflow, or other orchestration tools
- Experience using Queuing tech, such as SQS, RabbitMQ, Kafka, Kinesis
- Experience with security protocols or related data
- Experience with modern security tooling and DevSecOps in cybersecurity
- Experience with AGILE/Scrum practices
- Bachelor's degree in Computer Science, Information Technology, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Enterprise Technology and Data Job Posting Primary Business:
Global Information Security Primary Job Posting Category:
Data Engineering Employment Type:
Full time Primary City, State, Region, Postal Code:
Orlando, FL, USA Alternate City, State, Region, Postal Code:
USA - CA - 820 S Flower St, USA - WA - 925 4th Ave Date Posted:
2026-05-19
Vacancy posted 2 days ago
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