Data Engineer II

The Walt Disney Company

. Design, craft, and own high-quality foundational datasets for machine learning models and subscriber experiences .

Posted 10/9/2026full-timeUnited StatesMid-LevelSenior💰 $106,900 - $150,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing large-scale data processing pipelines and datasets for machine learning applications, with a strong foundation in programming and cloud technologies. Proficient in data quality enhancement and collaboration across multidisciplinary teams to support critical data operations.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentDatabricks ExperiencePublic Cloud ProficiencyDistributed Data Processing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsDesign PatternsData Quality ChecksExploratory Data AnalysisAnomaly DetectionCI/CD PipelinesNoSQL Data StoresRecommendation SystemsMachine Learning Models

Soft Skills

Strong Communication Skills

Tools & Technologies

DatabricksApache SparkAWSMicrosoft AzureGoogle CloudKafkaKinesisSQS

Certifications & Qualifications

Bachelor’s Degree in Computer Science

Industry Keywords

Large Scale Data WorkloadsData Processing JobsSubscriber ExperiencesObservability Best Practices

Tech Stack

Tools & technologies

ApacheAWSAzureCassandraCloudDynamoDBJavaKafkaNoSQLPythonSpark

About the role

Key responsibilities & impact

Design, craft, and own high-quality foundational datasets for machine learning models and subscriber experiences
Source, analyze, and validate diverse upstream data sources and raw signals using exploratory data analysis
Identify and build new user and content data features for recommendation systems
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 checks, anomaly detection, testing, monitoring, and alerting
Follow observability best practices and participate in an on-call rotation supporting critical production data pipelines
Collaborate with machine learning engineers, data engineers, software engineers, project managers, and product managers

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical, financial, and/or other benefits
Bonus and/or long-term incentive units may be provided as part of the compensation package