Data Engineer II

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 Product & Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News.

The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.

The Data Engineer II will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring key performance indicators like spend and conversions for the marketing campaigns .

Collaborating across disciplines, they will identify internal / external data sources, design table structure, define ETL strategy & automated Data Quality checks.

Responsibilities

Contribute to the design and growth of our Data Products and Data Warehouses around Acquisition marketing spend and Acquisition campaign Performance data.

Develop and optimize performant database, data model, integration and ETL in RDBMS and Big Data environments

Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions

Help define technical requirements and implementation details for the underlying data warehouse and data marts

Maintain detailed documentation of your work and changes to support data quality and data governance

Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers

What To Bring

2+ years of data engineering experience

Proven experience with at least one major RDBMS (SQL Server, MySQL or Oracle)

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

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

Strong SQL skills and ability to create queries to extract and build tables

Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

Familiarity with Amazon s3 and / or ETL using databricks

Familiarity with Scrum and Agile methodologies

You are a problem solver with strong attention to detail and excellent analytical and communication skills

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 $102,500.00 to $137,500.00 per year, in Seattle, WA is $107,400.

00 to $144,000.00 per year, and in New York, NY is $107,400.00 to $144,000.00 per year 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.