Data Engineer

Disney Experiences is seeking a Data Engineer to design, build, and oversee AWS-based data ingestion pipelines and data solutions that support both structured and unstructured data. The role focuses on scalable big data and distributed processing, reliable data views for reporting and analytics, and data quality and validation in an agile environment.

Location

Orlando, FL (onsite)

Salary

USD 101,800 - 136,500 per yearly

What You’ll Do

• Design and develop data pipelines in AWS and Snowflake.
• Design and develop data views, including support for architecture decisions, deployment, and feedback loops.
• Develop and support data solutions using AWS services such as CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, S3, and EC2.
• Debug and troubleshoot across a broad technical stack.
• Provide product ownership and business support in an enterprise-level theme park related environment.
• Partner with business groups across Disney Parks and Resorts to implement technical solutions.
• Perform data and system analysis needed for feature engineering.
• Develop and maintain data quality checks and validation processes to support reliable, accurate data assets.

Minimum Qualifications

• 3+ years of Data Engineering or similar experience, including supporting SQL in a Data warehouse environment.
• Strong knowledge of Python and object-oriented programming concepts.
• Solid working experience with Snowflake native objects including SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel, and cloning.
• Experience designing scalable dimensional and analytical data models for 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 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, including experience with testing in the data space.
• Experience with CI/CD pipelines and source control tools such as GitHub.

Education

Bachelor’s degree in computer science, Distributed Computing, Machine Learning, Mathematics or related field

Technologies

AWS, Snowflake, SQL, Python, S3, Glue, MSK, Redshift, Spark, CDK, CloudFormation, Kinesis, Lambda, SQS, SNS, EC2, SnowPipe, external/internal stages, external tables, integration objects, stored procedures (Snowflake Scripting), stream & task, data masking, time travel, cloning, Data Build Tool (DBT), Agile/Scrum, CI/CD pipelines, 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.

Benefits

• Health and savings benefits
• Educational opportunities
• Special extras that only Disney can provide

Compensation Notes

• The hiring range for this position in Orlando is $101,800.00-$136,500.00 per year.
• Base pay offered will consider internal equity and may vary based on candidate geographic region, job-related knowledge, skills, and experience.
• 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.

About the Role

Disney Experiences powers the digital experiences for premier vacation brands and segments, supporting the end-to-end digital and physical Guest experience across technology and digital-led initiatives. In this role, you will help design, build, and oversee the deployment of technology architecture, solutions, and software that capture, manage, and use structured and unstructured data from multiple sources. You will build data ingestion pipelines and distributed solutions using big data technologies in a Cloud DW environment, including SQL, S3, Glue, MSK, Snowflake, and Redshift, and design curated data views for reporting, analytics, and advanced applications.

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