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# Data Engineer II

- **Company:** Walt Disney Studios
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $112,000.0 - $150,100.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Data Structures, Data Stores, Software Design Patterns, Distributed Computing Environment, Distributed Data Store, Amazon DynamoDB, Revision Control Systems, Iterative and Incremental Development, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, NoSQL, Object-Oriented Software Development, Operational Databases, Recommender Systems, Google Cloud, Apache Spark, Information Technology, Cassandra, Apache Kafka, Amazon Simple Queue Service (SQS), Data Pipelines, Databricks
- **Published:** July 11, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27842386/Data-Engineer-Ii-Washington-Seattle-1015

## About the Role

* Bachelor's degree in Computer Science (or related field), or equivalent work experience
 * 3 years of experience working with large scale data workloads, building and curating datasets and developing data pipelines and processing jobs
 * Strong programming skills in Python, Java, or comparable object-oriented language
 * Experience working with Databricks or equivalent large-scale data processing platforms
 * Demonstrated knowledge of operating within a Public Cloud Provider (e.g. AWS, Microsoft Azure, Google Cloud)
 * Experience working with source control systems and CI/CD pipelines
 * Strong grasp of computer science fundamentals (data structures, algorithms, design patterns, etc.)
 * Strong communication skills, both written and verbal

Preferred Qualifications

 * Proficiency working in Databricks to build data pipelines
 * Experience with distributed data processing frameworks, such as Apache Spark
 * Demonstrated knowledge of messaging technologies (e.g. Kafka, Kinesis, SQS, or other)
 * Familiarity with recommendation systems industry architectures and best practices
 * Hands-on experience with NoSQL data stores (e.g. DynamoDB, Cassandra, ScyllaDB, or other)
 * Hands-on experience using AI and coding assistants to accelerate design and development

## Description

As a Data Engineer II in this role, you'll apply your passion for data, along with your previous experience working with large-scale datasets, data pipelines, and distributed data systems to help our team meet this goal. You'll collaborate closely with machine learning engineers, data engineers and software engineers, as well as project managers and product managers to create the best experiences possible for our viewers., * Design, craft and own high quality foundational datasets to produce reliable, meaningful inputs for machine learning models and subscriber experiences

 * Source, analyze and validate diverse upstream data sources from upstream partner teams and raw signals using exploratory data analysis
 * Identify and build new user and content data features for recommendation systems through collaboration with machine learning engineers
 * Enhance existing feature quality through experimentation, analysis and iterative development
 * Build, optimize and maintain large scale data processing jobs, pipelines and workloads
 * Improve data quality and reliability through implementing checks, anomaly detection, testing, monitoring and alerting
 * Contribute to operational excellence by following observability best practices and participating in an on-call rotation to support critical production data pipelines


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