Data Engineer II Job New York New York USA,IT/Tech

Location: New York

Disney Entertainment and ESPN Product & Technology

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 Platform sis responsible for Disney’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.

Job Summary:

The Commerce Data Pipelines team for the Data organization within the DEET organization is in search of a Data Engineer II. As a member of the Commerce Data Pipelines team you will establish the foundational set of data pipelines and datasets which are a vital key to success – enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.

Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass. The Commerce Data Pipelines is seeking to grow their team of world class Data Engineers that share their charisma and enthusiasm for making a positive impact!

Responsibilities

and Duties of the Role:

Contribute to maintaining, updating, and expanding existing Commerce Data platform data pipelines in Scala and Python / Spark while maintaining strict uptime SLAs
Extend functionality of current Commerce Data platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization
Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform
Implementation shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines across the Data organization
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
Collaborate with product managers, architects, and other engineers to drive the success of the Commerce Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more
Ensure high operational efficiency and quality of the Commerce Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to…