Data Engineer

Job Description

The Marketing Data Engineering team at Disney Streaming Services is responsible for creating and deploying the data pipelines and data platform integrations to enable the Disney+ and ESPN+ marketing & analytics teams. We build the data solutions to optimize the marketing spend and efficacy of creative content for both paid media and lifecycle engagement messaging.

Responsibilities:
• Build and deploy streaming and batch data pipelines in support of the Disney+ marketing ecosystem to enable data activation and segmentation capabilities across paid media and lifecycle engagement marketing.
• Integrate with a variety of data providers ranging from upstream data services to 3rd party data solutions.
• Collaborate with product, marketing, and analytics teams to build data-forward solutions to subscriber growth and retention
• Build integrations with paid media platforms to optimize marketing spend through data and analytics
• Develop unit/integration tests and data validations to ensure the quality of code and data
• Work in an Agile environment that focuses on collaboration and teamwork

Basic Qualifications:
• 2-3 years of experience developing in object oriented Python
• Familiar with big-data solutions using technologies such as Databricks, EMR, S3, and Spark
• Loading and querying cloud-hosted databases such as Snowflake/Redshift
• Building data pipelines using Kinesis, Kafka, Spark, or Flink

Preferred Qualifications:
• Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
• Experience deploying data notebook and analytic environments such as Jupyter and
• Databricks
• Familiarity with deploying and running AWS-based data solutions
• Experience with graph-based data workflows using Apache Airflow
• Knowledge of marketing technology stacks

Required Education
• Bachelor's degree in Computer Science or related field or equivalent work experience

Jobcode: Reference SBJ-ro1mq3-18-190-156-212-42 in your application.