Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Open
The Walt Disney Company is a global entertainment business built around storytelling, characters, and guest experiences. Its operations span theme parks and resorts, media networks, film studios, and interactive media, with products and experiences reaching audiences across platforms and devices worldwide. Founded in 1923, Disney brings together a large international workforce across entertainment, hospitality, travel, and food and beverage, while maintaining a focus on privacy, transparency, and compliance in its handling of consumer data.
Data Engineer II, Disney Streaming Recommendations
Build core datasets, machine learning features, and data pipelines for Disney’s streaming recommendations. Improve personalized viewer experiences through scalable, reliable data systems.
United States
California
New York
Washington$106,900 – $150,100 / year
HybridFull-timeMiddleSeniorEnglish RequiredData EngineerDescription
- Create and maintain foundational datasets for machine learning models and subscriber experiences
- Investigate, analyze, and validate varied upstream data sources and raw signals
- Develop user and content features for recommendation systems
- Improve existing feature quality through experimentation, analysis, and iterative development
- Build, optimize, and maintain large-scale data processing jobs, pipelines, and workloads
- Strengthen data quality and reliability with checks, anomaly detection, testing, monitoring, and alerts
- Apply observability practices and join an on-call rotation supporting critical production data pipelines
- Work with machine learning, data, and software engineers, project managers, and product managers
Requirements
- Bachelor’s degree in computer science or a related field, or equivalent work experience
- At least 3 years of experience handling large-scale data workloads, curating datasets, and developing data pipelines and processing jobs
- Strong Python, Java, or comparable object-oriented programming skills
- Experience with Databricks or a comparable large-scale data processing platform
- Knowledge of working with a public cloud provider such as AWS, Microsoft Azure, or Google Cloud
- Experience with source control systems and CI/CD pipelines
- Strong grounding in computer science fundamentals, including data structures, algorithms, and design patterns
- Strong written and verbal communication skills
- Preferred: Proficiency building data pipelines in Databricks
- Preferred: Experience with distributed data processing frameworks such as Apache Spark
- Preferred: Knowledge of messaging technologies such as Kafka, Kinesis, or SQS
- Preferred: Familiarity with recommendation system architectures and industry best practices
- Preferred: Hands-on experience with NoSQL data stores such as DynamoDB, Cassandra, or ScyllaDB
- Preferred: Hands-on experience using AI and coding assistants to accelerate design and development
Benefits
- Medical, financial, and/or other benefits
- The compensation package may include a bonus and/or long-term incentive units
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