Data Engineer - Cloud Data Pipelines & Snowflake

Disney Media & Entertainment Distribution; United States; On-site; USD 102,000 - 137,000; Full time

Benefits offered by this job

Health benefits

Savings plan

Educational opportunities

Job summary

Disney Experiences is seeking a Data Engineer to design and build data pipelines in AWS and Snowflake, and to create scalable data views for reporting and analytics. You will enable data-driven decision making across themes and parks, working in an Agile team.

The role emphasizes data quality, CI/CD practices, and collaboration with multiple business units to deliver reliable data products in a cloud-first environment.

Qualifications

• 3+ years of data engineering experience in a data warehouse setting.
• Strong Python skills and OO concepts.
• Experience with Snowflake objects and cloud data platforms.
• Ability to translate requirements into scalable data solutions.
• Experience with AWS services and CI/CD pipelines.
• Familiarity with data governance, security, and auditing.

Responsibilities

• Design and develop data pipelines in AWS & Snowflake.
• Create data views and support architecture decisions.
• Develop data solutions using AWS services (CDK, CloudFormation, Kinesis, Lambda, S3).
• Debug, troubleshoot, and optimize complex data pipelines.
• Collaborate with business and tech teams in an Agile environment.
• Provide data quality checks and support feature engineering.
• Support data modeling for reporting and analytics.

Skills

Data engineering

Python

Snowflake

AWS

ETL/ELT

Data modeling

SQL

Self-service analytics

Data quality

Agile/Scrum

Education

Bachelor's degree in CS/related field

Tools

Snowflake Scripting

Airflow

AWS CDK/CloudFormation

GitHub

Spark

Snowpipe

Redshift

DBT

Job description

Disney Experiences is seeking a Data Engineer to design and build data pipelines in AWS and Snowflake, and to create scalable data views for reporting and analytics. You will enable data-driven decision making across themes and parks, working in an Agile team.

The role emphasizes data quality, CI/CD practices, and collaboration with multiple business units to deliver reliable data products in a cloud-first environment.