Senior Data Engineer

This is open from NY, Seattle and SFO hubs.

Job Description

On any given day at Disney Entertainment & ESPN Product & 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 Product & Technology:

Building the future of Disney’s media business: Our 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.

Commerce Data Solutions builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. This Senior Data Engineer will contribute to the Disney'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 and Duties of the Role:

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:

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

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

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

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

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

Preferred Qualifications:

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

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

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

#DISNEYTECH

Pay range and compensation package - The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year and in New York, NY and Seattle, WA is $145,400 to $195,000 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.