Data Engineer

About the Role

We Power the Magic! Thats our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Companys 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 Redshiftto 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

• Bachelors degree in computer science Distributed Computing Machine Learning Mathematics or related field Required.

Benefits and Perks: Disney offers a rewards package to help you live your best life. This includes health and savings benefits educational opportunities and special extras that only Disney can provide. Learn more about our benefits and perks at hiring range for this position in Orlando is $101800.00-$136500.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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.

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