Job Summary:***Multiple Data Engineer openings at varying levels and locations around the US: Orlando, FL, Los Angeles area, CA, Seattle, WA or 100% Remote***
Disney Data Engineering teams leverage cutting-edge technology, immersive storytelling and imaginative thinking to create innovative, one-of-a-kind creations for Guests and consumers around the globe. As part of the Data Engineering team within Disney Parks, Experiences and Products, you will be using some of the most unique and robust data in the world! All of this incredible data is a key enabler behind:

• Disney’s world class, personalized Guest experience
• Interactive and immersive experiences
• Optimizing Parks & Resorts operations
• Vacation planning
• Disney Cruise Line – pricing, booking and experience
• Keeping our Guests safe
• Keeping our attractions running
• Product development and pricing
• Marketing and communication
• Consumer Product ecommerce

Join the Data Engineering team as a Data Engineer, Senior Data Engineer , Lead Data Engineer or Principal Data Engineer.

• As a Data Engineer, you will develop custom data pipelines across a wide variety of technologies. You will have the opportunity to engineer high-performance and large-scale data engineer projects, ensure solutions support all functional and non-functional requirements and develop production grade, consumable data views. The Data Engineer will also participate in operational support and maintenance of products/services as well as coordinate and collaborate with offshore teams.
• As a Senior Data Engineer, you will also participate in discovery processes with stakeholders to identify business requirements and expected outcomes. The Senior Data Engineer will also participate in operational support and maintenance of products and services as well as mentor junior team members.
• As a Lead Data Engineer, you will also lead and mentor engineering teams and help grow a team of world-class engineers. The Lead Data Engineer will also be a DevOps guru, provide technical guidance and act as a point of escalation for cloud data projects, develop reusable patterns and frameworks as part of the engineering process as well as lead discovery processes with stakeholders.
• As a Principal Data Engineer, you will also be responsible for evaluating new technologies, establishing standards and practices across the engineering team, contributing to and implementing a reference architecture, and serving as an application architect for projects and programs.

To learn more about technology at Disney, check out this video: https://www.youtube.com/watch?v=AqFfURQQYq8
Responsibilities:

• Design and engineer high-performance/large scale data engineering projects, producing maintainable and secure code with automated testing in a continuous integration environment.
• Develop production grade, consumable data views
• Ensure solutions support all functional and non-functional requirements
• Participate in operational support and maintenance of products and services
• Ability to participate in discovery processes with stakeholders to identify business requirements and expected outcomes
• Ability to mentor to junior team members
• Coordinate and collaborate with offshore teams

Basic Qualifications:

• Relevant cloud data engineering work experience
• Ability to perform across multiple phases of development for multiple complex projects, including technical design, build, and end-to-end testing
• Passionate about delivering data engineering projects and features in a team environment
• Demonstrate the ability to quickly learn new technologies.
• Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in stressful situations.
• Strong oral and written communication and interpersonal skills.

Technical qualifications:

• Fundamentals of data pipelining, ETL, data architecture, and the overall data lifecycle
• Cross-platform development languages: Python preferred (Java specialty OK)
• Snowflake data warehouse exposure or experience
• SQL and scripting proficiency
• Relational database and NoSQL (ex: MongoDB, DynamoDB, Redis, HBase, Cassandra) database experience
• Cloud technologies including AWS and Google Cloud Platform (GCP)

Preferred Qualifications:

• Queuing Technology – Kafka, RabbitMQ, Redis, SQS, Kinesis Streams, Kinesis Firehose
• Data Processing – EMR, Spark, Glue, Spark Streaming/Flink
• Containers - Docker, Docker Swarm, Docker Applications
• CICD - Jenkins/Codebuild/GitLab
• Security - IAM roles, wire encryption, KMS, Kerberos, Authz, AD
• Infrastructure as Code - Terraform, Cloud Formation, CDK

Required Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field OR equivalent work experience

Additional Information:DISNEYTECH
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