Data Engineer II

USA - CA - 2500 Broadway Street, United States

The Walt Disney Company

The mission of The Walt Disney Company is to be one of the world's leading producers and providers of entertainment and information.

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Job Posting Title:

Data Engineer II

Req ID:

10125003

Job Description:

About Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology (DEEP&T) is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.

The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. 

Here are a few reasons why we think you’d love working here:

  • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.

  • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally. 

  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

About The Role

We are seeking a Data Engineer who will partner with business, analytics and engineering teams to design, build and maintain ease for use data structures to facilitate reporting and monitoring key performance indicators. Collaborating across disciplines, you will identify internal/external data sources to design table structure, define ETL strategy & automated QA checks and implement scalable ETL solutions.

Responsibilities

  • Partner with technical and non-technical colleagues to understand data and reporting requirements.

  • Work with Engineering teams to collect required data from internal and external systems.

  • Design table structures and define ETL strategy to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

  • Develop Data Quality checks for source and target data sets. Develop UAT plans and conduct QA.

  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow, Luigi and Jenkins.

  • Perform ad hoc analysis as necessary.

  • Perform SQL and ETL tuning as necessary.

  • Develop and maintain Dashboards/reports using Tableau and Looker

  • Coordinate and resolve escalated production support incidents in Tier 2 support rotation

Basic Qualifications

  • 3+ years of relevant professional experience.

  • Experience implementing data warehousing environments. Strong grasp of data modeling principles such as Dimensional modeling and data normalization principles, among others.

  • Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as Hadoop / Hive, Snowflake , Databricks etc

  • Experience programming languages (e.g. Python, R, bash) preferred.

  • Experience with workflow management tools (Airflow)

  • Good understanding of SQL Engines and able to conduct advanced performance tuning

  • Experience with Databricks, snowflake  (or similar) Ecosystem

  • Strong communication skills – written and verbal presentations.

  • Comfortable working in a fast-paced and highly collaborative environment.

Preferred Qualifications

  • Knowledge of Data Engineering practices and tools, such as Spark.

Required Education

  • Bachelor’s Degree in computer science, information systems, or related field or equivalent work experience.

Additional Information

#DISNEYTECH

The hiring range for this position in Santa Monica, CA is $104,600 - $140,200 per year, in San Francisco, CA is $114,500 - $153,500 per year, in Seattle, WA is $109,500 - $146,800 per year, and in New York, NY is $109,500 - $146,800 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Commerce, Data & Identity

Job Posting Primary Business:

PDE - Data Platform Engineering

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Santa Monica, CA, USA

Alternate City, State, Region, Postal Code:

USA - CA - Market St, USA - NY - 7 Hudson Square, USA - WA - 925 4th Ave

Date Posted:

2025-07-03
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Category: Engineering Jobs

Tags: Airflow Computer Science Databricks Data quality Data Warehousing Distributed Systems Engineering ETL Hadoop Jenkins Looker Privacy Python R RDBMS Snowflake Spark SQL Tableau

Perks/benefits: Equity / stock options Salary bonus Team events

Region: North America
Country: United States

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