Job Posting Title:
Sr Data Engineer
Req ID:
Job Description:
Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms.
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.
Responsibilities:- 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.
Basic Qualifications:- 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
The hiring range for this position in San Francisco is $155,400 - $208,400 per year, Santa Monica, CA is $141,900 - $190,300 per year and Seattle is $148,700 - $199,400 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, dependent on the level and position offered.
Job Posting Segment:
Commerce, Data & Identity
Job Posting Primary Business:
PE - Sports, News & Entertainment, Enablement
Primary Job Posting Category:
Data Engineering
Employment Type:
Full time
Primary City, State, Region, Postal Code:
Santa Monica, CA, USA
Alternate City, State, Region, Postal Code:
Date Posted:
2026-06-11
