At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company (TWDC) is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Disney Decision Science & Integration (DDSI) team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions and drive value.

The Data Engineering team is responsible for partnering with Decision Science Products, Decision Science, Client and Technology team members on various development and sustainment projects, ad-hoc requests, prototyping and research initiatives by providing data pipeline and database engineering services.

The DDSI Data Engineering (DE) team is seeking a Data Engineer to work on various initiatives. In this position, the candidate will have responsibilities to develop, implement, enhance and support our solutions. The work will involve data engineering activities throughout the project SDLC.

What You Will Do

Work assignments may consist of data requirements gathering, source-to-target mapping, developing and maintaining ETL/ELT data pipelines, data quality monitoring, producing datasets for science models and visualizations and batch/orchestration job scheduling.  In addition to technical abilities, the role is responsible for developing an understanding of the business domain and processes, then applying that knowledge to the assigned deliverables.  This role communicates data engineering progress to the project leadership team and actively participates in meetings and discussions. 

Technologies generally leveraged to fulfill the work include, but not limited to PostgreSQL, Snowflake, SQL, Python, Docker, and GitLab.

Required Qualifications & Skills

3+ years of overall technical experience

Experience with ELT/ETL data pipeline development and maintenance

Proficiency in SQL coding

Experience and expertise using Python, Snowflake and/or Postgres

Prior experience gathering and refining data requirements

Experience leveraging job scheduling software like Apache Airflow

Experience developing in a multi deployment environment (Dev, QA, Prod, etc.) leveraging DevOps procedures for code deployment/promotion

Experience managing and deploying code using a source control product such as GitLab/GitHub

Preferred Qualifications

Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake or similar

Knowledgeable on cloud architecture and product offerings, preferably AWS

Experience using containerization technologies such as Docker or Kubernetes

Experience and/or familiarity with Disney Theme Parks and Resorts data, specifically related to resort reservations, dining reservations, or theme park attendance

Education

Bachelor's degree in Advanced Mathematics, Statistics, Computer Science, Engineering or comparable field of study, and/or equivalent work experience

Master’s degree preferred in Advanced Mathematics, Statistics, Computer Science, Engineering or comparable field of study, and/or equivalent work experience

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