Data Engineer

The Walt Disney Company; Orlando (FL); On-site; USD 102,000 - 137,000; Full time

Benefits offered by this job

Health benefits

Education opportunities

Employee discounts

Job summary

The Walt Disney Company in Orlando is seeking a Data Engineer to design and build robust data pipelines on AWS and Snowflake. You will develop data views, support architecture decisions, and contribute to enterprise-level analytics and data products.

Candidates should have strong Python skills, experience with Snowflake, and a background in data modeling and data quality. Collaboration with Disney Parks & Resorts teams is essential, with a focus on scalable, secure data solutions.

Qualifications

• 3+ years of Data Engineering or similar experience in SQL and data warehousing.
• Strong Python programming skills and OO concepts required.
• Experience with Snowflake native objects and related data tooling.
• Ability to translate business requirements into scalable data solutions.

Responsibilities

• Design and develop data pipelines in AWS & Snowflake.
• Develop and support data solutions using AWS services (S3, Glue, MSK, Redshift, Spark).
• Design scalable dimensional/analytical data models for enterprise reporting.
• Collaborate with business partners to implement optimal technical solutions.
• Implement data quality checks and validation processes.

Skills

SQL

Python

Data modeling

Data warehousing

Agile/Scrum

Data quality

Problem solving

CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

AWS

DBT

GitHub

Airflow

Spark

Job description

Data Engineer

Req ID: 10155062

Job Description

About the Role

"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.

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, Distributed Computing, Machine Learning, Mathematics or related field Required.

Additional Information

• 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 https://jobs.disneycareers.com/benefits .
• The hiring range for this position in Orlando is $101,800.00-$136,500.00 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, depend