Job Requirements

​“We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands and segments. We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business.

As a Data Engineer at Disney Experiences, you will 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. This role is designed for professionals who are passionate about data engineering and can work effectively within a collaborative team environment.

The Data Engineer will create data ingestion pipelines including workloads and applications inside AWS. Implements, troubleshoots, and optimizes distributed solutions based on big data technologies like SQL, S3, Glue, MSK, Snowflake and Redshift to solve large scale processing problems in a Cloud DW environment. Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications. Apply technical expertise and mathematical concepts to challenging programming problems. Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment.  

Responsibilities

Design and develop data pipelines in AWS & Snowflake

Design and develop data views, assist with architecture decisions, deployment, and feedback.

Develop and support data solutions using AWS services including CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2.

Ability to debug and troubleshoot across a broad technical stack.

Product ownership and strong business support in enterprise level theme park related environment.

Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions.

Provide data and system analysis needed for feature engineering.

Develop and maintain data quality checks and validation processes to ensure reliable and accurate data assets.

Required Qualifications:

3+ years of Data Engineering or similar experience required, supporting SQL in a Data warehouse environment.

Strong knowledge of Python and object-oriented programming concepts.

Solid working experience with Snowflake native objects like SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel and cloning.

Design scalable dimensional and analytical data models that support enterprise reporting, self-service analytics, and data product consumption.

Ability to translate business requirements into scalable data solutions and curated datasets.

Experience building data pipelines and complex data transformations.

Experience with AWS S3, Glue, MSK, Redshift, Spark, or related ETL/Deployment tools.

Working knowledge of Data Build Tool (DBT).

Experience working in an Agile/Scrum development environment.

Strong conceptual understanding of security at rest and in transit for big data pipelines.

Strong troubleshooting and problem-solving skills with the ability to analyze and resolve data and system issues.

Hands-on experience implementing data pipelines and data models within established architectural frameworks.

Strong systems and data analysis skills, and experience with testing in data space.

Experience with CI/CD pipelines and source control tools such as GitHub.

Preferred Qualifications

Experience with Airflow or other workflow orchestration tools.

Experience supporting real-time data processing workloads.

Familiarity with data governance, metadata management, and data lineage concepts.

Exposure to machine learning or analytics use cases.

Experience working with large-scale cloud-based data platforms.

Required Education

Bachelor's degree in computer science, Data Science, Machine Learning, Mathematics or comparable field of study, and/or equivalent work experience 

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PAY TRANSPARENCY

The hiring range for this position in Orlando, FL is $103,400 to $138,600 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

This position is with Walt Disney Attractions Technology LLC, which is part of a business we call Disney Experiences.

To learn more about Disney's guidelines on the use of AI for candidates, click here.

Walt Disney Attractions Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

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The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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