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# Sr Data Engineer

- **Company:** The Walt Disney Company
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $155,400.0 - $208,400.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon S3, Unit Testing, Big Data, BigQuery, Cloud Computing, Cloud Database, Code Review, Information Systems, Continuous Integration, Data Integration, Data Warehousing, Distributed Systems, Fault Tolerance, Apache Hive, Python (Programming Language), Scrum Methodology, Standard Sql, Snowflake, Apache Spark, Backend, Information Technology, Presto, Terraform, Data Pipelines, Amazon Redshift, Databricks
- **Published:** September 18, 2026
- **Apply:** https://www.seattlejobs.com/job.asp?id=3394876261&tx=KP4545FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
 * 5+ years of related big data engineering experience modeling and developing large data pipelines
 * Hands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.
 * Strong Python, Scala/Spark and SQL skills processing big datasets
 * Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)
 * Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
 * Operational experience in multi-system/services production environment as point-of-contact / SME
 * Problem solving skills with strong attention to detail and excellent analytical and communication skills
 * Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD
 * Solid experience with AWS S3

Preferred Qualifications:

 * Demonstrated ability with cloud infrastructure technologies, including Terraform.
 * Understanding of householding algorithms and third-party data enrichment tools.

#Disneytech

## Description

This role involves building and maintaining our Identity Householding Data products . These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data., * Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings

 * Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase.
 * Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs.
 * Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
 * Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.
 * Participate in on-call support
 * Participate in code reviews and problem-solving.


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