Senior Data Engineer – Data Products & Platforms

The Walt Disney Company; Glendale (CA); On-site; USD 144,000 - 193,000; Full time

Job summary

The Walt Disney Company is seeking a Senior Data Engineer to join the Data Products & Platforms team within DX Tech & Digital. You will design and deliver scalable data solutions that power Content Performance and Engagement across Disney’s brands.

You will build ELT pipelines in AWS, Snowflake, and other cloud services, collaborate with product managers and data engineers, maintain data governance, and advocate agile practices to ensure reliable, high‑quality data assets for data science and

Qualifications

• 5+ years of data engineering experience delivering large data pipelines.
• Strong SQL and data modeling skills for scalable data warehousing.
• Hands-on experience with AWS (Lambda, Kinesis) and cloud data platforms.
• Experience with Snowflake, Redshift or BigQuery.
• Proficient in Agile/Scrum practices and collaborating with cross-functional teams.

Responsibilities

• Design and deliver data products and data warehousing solutions.
• Develop and maintain ELT pipelines in cloud and hybrid environments.
• Collaborate with Data Product Managers, Architects, and Engineers to deploy data solutions.
• Ensure data quality, governance, and documentation.

Skills

SQL

AWS

Data pipelines

Agile/Scrum

Data modeling

Data governance

Attention to detail

Communication

Education

Bachelor's degree in CS/IS/Engineering

Master’s degree in CS/IS/Engineering

Tools

Snowflake

Redshift

BigQuery

AWS Lambda

AWS Kinesis

DMS

AppFlow

EventBridge

Job description

The Walt Disney Company is seeking a Senior Data Engineer to join the Data Products & Platforms team within DX Tech & Digital. You will design and deliver scalable data solutions that power Content Performance and Engagement across Disney’s brands.

You will build ELT pipelines in AWS, Snowflake, and other cloud services, collaborate with product managers and data engineers, maintain data governance, and advocate agile practices to ensure reliable, high‑quality data assets for data science and