Sr Data Engineer

Posted 2 Days Ago
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Sacramento, CA
Hybrid
Senior level
AdTech • Digital Media • News + Entertainment
Create the Tech Behind Our Magic
The Role
The Data Engineering Manager will be responsible for planning and managing data engineering processes related to a multi-site application supporting the Parks Yield Management portfolio. Responsibilities include project scoping, data requirements, planning, estimating, design, development, testing, production rollout, and sustainment activities.
Summary Generated by Built In

About the Role & Team
The Disney Decision Science + Integration (DDSI) organization is responsible for supporting clients across The Walt Disney Company including the Disney Experiences (DX) segment which include Parks & Resorts both domestic and international, Consumer Products and Disney Signature Experiences as well as the Disney Entertainment segment including Studios Content (Disney Theatrical Group), General Entertainment Content, and ESPN and Sports Content.
DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business 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 Senior Data Engineer to work on theme-park related internal DE initiatives. In this position, the candidate will have tasks to develop, implement, enhance and support our solutions. The work will involve various data engineering activities throughout the project SDLC.
This team works in office located in Lake Buena Vista, Florida.
What You Will Do
Work assignments may cover activities such as participation in data requirements gathering, source-to-target mapping, developing and maintaining ELT data pipelines, data quality monitoring, producing input datasets for science models and visualizations and Batch/Orchestration job scheduling. In addition to technical abilities, the role is responsible for developing an understanding 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

  • 5+ years of overall technical experience
  • Experience with ELT/ETL data pipeline development and maintenance
  • High Proficiency in SQL coding
  • Proven experience and expertise using Python, Docker, Snowflake and/or Postgres
  • Ability to showcase an understanding of one or more business domains
  • Prior experience gathering and refining data requirements and producing data design solutions
  • Experience leveraging job scheduling software like Apache Airflow
  • Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
  • Strong understanding of database design and proficiency using various database platforms, such as PostgreSQL or Snowflake
  • Experience managing and deploying code using a source control product such as GitLab/GitHub
  • Able to optimally formulate solutions and communicate sophisticated technical concepts to non-technical team members


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, Data Science or comparable field of study, and/or equivalent work experience
  • Master's degree preferred in Advanced Mathematics, Statistics, Data Science or comparable field of study

Top Skills

Python
SQL

What the Team is Saying

Chris
Chase
Jamie
The Company
HQ: Burbank , CA
200,000 Employees
Hybrid Workplace
Year Founded: 1923

What We Do

Innovation is in the DNA of The Walt Disney Company. We not only embrace it, we translate it into experiences you can see and feel. From our groundbreaking work in advanced audio-animatronic robots featured in the Disney theme parks, to streaming services that are redefining entertainment, to inventing tools to create new worlds in our films — The Walt Disney Company has spent nearly 100 years immersing audiences in new and stunning experiences using groundbreaking technology. When next generation technology meets talented people ready to tackle challenges still to be imagined, anything can happen.

Why Work With Us

Every technologist at Disney is essential to helping us create unforgettable experiences and innovative products. Our teams constantly spearhead innovation by incubating cutting-edge ideas into production-ready solutions. At Disney, you’ll make an impact you can see and feel with a team that both supports and challenges your thinking.

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