Data Engineer Sports Analytics Jobs in California

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Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology 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 thinkyou'dlove 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 industrynorms, andsolve complex and distinctive technical problems.

Ad Platformsis responsible forDisney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms.

About The Role

The Content Data Solutions team builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. 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

• Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance data.
• Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
• Our tech stack includes AWS, Databricks, Snowflake, Spark and Airflow
• Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
• Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
• 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 our customers (Data Science, Data Analytics teams)
• Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

Basic Qualifications

• 5+ years of data engineering experience developing large data pipelines.
• Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
• Experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
• Experience using programming languages (e.g. Python, Pyspark)
• 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.
• Comfortable working in a fast-paced and highly collaborative environment.

Preferred Qualifications

• Experience with Snowflake, Databricks/EMR/Spark & Airflow a plus.

Required Education

• Bachelor's Degree in Computer Science, Information Systems or related field, or equivalent work experience.
• Master's Degree a plus

# Disneytech

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