Senior Data Engineer, Data Products & Warehouses

The Walt Disney Company

Anaheim (CA)

On-site

USD 144,000 - 193,000

Full time

5 days ago
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Job summary

The Walt Disney Company is seeking a Senior Data Engineer in Anaheim, CA to design and deliver large-scale data products and warehouses. You will build scalable ELT pipelines using AWS tools, Snowflake, DBT and Airflow, while collaborating with Data Product Managers and Engineers to ensure data quality and governance.

You will contribute to data modeling, documentation, and maintaining SLAs to support data-driven decisions across analytics and business teams.

Qualifications

  • 5+ years of data engineering experience with large pipelines.
  • Strong SQL skills for complex data extraction and dataset creation.
  • Hands-on experience with AWS data services to ingest and process data.
  • Experience with cloud and on-premise data warehousing solutions.
  • Familiarity with data modeling and data governance practices.

Responsibilities

  • Design and grow Data Products and Data Warehouses for Content Performance and Engagement.
  • Build scalable ELT pipelines in Big Data environments (cloud/on-prem/hybrid).
  • Develop and maintain data solutions using AWS, Snowflake, DBT and Airflow.
  • Collaborate with Data Product Managers and Engineers to deliver data assets.
  • Document changes and ensure data quality and governance.
  • Maintain high operational efficiency and meet SLAs for stakeholders.
  • Advocate agile/scrum practices within the team.

Skills

SQL
AWS
Snowflake
DBT
Airflow
ELT/ETL pipelines
Big Data
Data Modeling
Data Warehousing
Analytical thinking
Communication

Education

Bachelor's degree in CS/IS/Software or related field
Master’s degree in CS/IS/Software or related field

Tools

AWS Lambda
AWS Kinesis
AWS DMS
AWS AppFlow
AWS EventBridge
Snowflake
Redshift
BigQuery
DBT
Airflow

Job description

The Walt Disney Company is seeking a Senior Data Engineer in Anaheim, CA to design and deliver large-scale data products and warehouses. You will build scalable ELT pipelines using AWS tools, Snowflake, DBT and Airflow, while collaborating with Data Product Managers and Engineers to ensure data quality and governance.

You will contribute to data modeling, documentation, and maintaining SLAs to support data-driven decisions across analytics and business teams.

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