Disney Entertainment & ESPN Technology

　　On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

　　A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology

　　Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.

　　Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.

　　Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

　　Job Summary

　　The Ad Platforms team is responsible for building and operating the technology that supports Disney’s industry-leading, multi-billion dollar global advertising business. Working across all of Disney’s streaming brands and linear channels, this team’s scope is wide ranging - they impact everything from core infrastructure development that powers Disney’s proprietary ad server, to reimagining viewer-first ad experiences and formats. This team’s award-winning, in-house built technologies are the backbone of Disney’s ad business and a critical element of the Company’s streaming future.

　　The Senior Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks.

　　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 pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.

　　Develop Data Quality checks

　　Develop and maintain ETL routines using ETL and orchestration tools such as Airflow

　　Implement database deployments using tools like Schema Change

　　Perform ad hoc analysis as necessary.

　　Perform SQL and ETL tuning as necessary.

　　Basic Qualifications

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

　　Minimum of 5+ years of relevant data engineering experience.

　　Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.

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

　　Ability to think strategically, analyze and interpret market and consumer information.

　　Strong communication skills – written and verbal presentations.

　　Excellent conceptual and analytical reasoning competencies.

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

　　Familiarity with Agile Scrum principles and ceremonies.

　　Preferred Qualifications

　　2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.

　　2+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.

　　1+ years of experience programming languages (e.g. Python, Pyspark), preferred.

　　1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.

　　Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow

　　#DISNEYTECH

　　The hiring range for this position in Santa Monica, CA is $136,038.00 to $182,490.00 per year and in New York City, NY and Seattle, WA is $142,600.00 to $191,100.00. 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 ID: 10076009

　　Location: Seattle,Washington

　　Job Posting Company: Disney Direct to Consumer

　　The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email [email protected] with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.