Sr Data Engineer

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 think you'd love 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 industry norms, and solve complex and distinctive technical problems.

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney's media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it is responsible for the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.

** About the Team*
* The Acquisition Marketing Engineering team owns the ingestion, modeling, and activation of acquisition and lifecycle marketing data across multiple platforms. We build and maintain large scale data pipelines that ingest vendor data (paid media, mobile attribution, search, social, display, email, and more), land it in cloud storage, and transform it into analytics-ready datasets powering acquisition reporting tools, dashboards, and executive insights.

You will be a senior member of the engineering team driving multiple transformations end‑to‑end.

** Role Summary*
* The Senior Data Engineer will design, build, and optimize data pipelines and transformation frameworks that support high‑visibility acquisition reporting and marketing analytics use cases. You will work across AWS, Databricks, Unity Catalog, Snowflake and Airflow to create reliable, scalable solutions for ingesting and modeling marketing platform data.

You will collaborate closely with product, analytics, marketing operations, and stakeholder teams to ensure data accuracy, reliability, SLAs, and transparency for downstream dashboards.

** Key Responsibilities*
* + Architect, build, and maintain scalable ETL/ELT pipelines for acquisition reporting using Databricks, PySpark, SQL, and Unity Catalog.

+ Lead the modernization effort to migrate existing Snowflake‑based SQL scripts and transformations into Databricks UC with best practices in governance and structured access.

+ Design robust ingestion frameworks for marketing vendor data.

+ Implement data quality checks, monitoring, and automated remediation using Databricks, Snowflake, Airflow, and internal frameworks.

+ Develop metadata-driven, parameterized pipeline components to accelerate onboarding of new vendors and datasets.

+ Partner with the Data Reliability Engineering team to integrate SLA-based incident detection, logging, alerting, and auto-recovery workflows.

+ Collaborate with analytics and marketing stakeholders to understand reporting needs and ensure reliable dashboard data.

+ Improve pipeline performance, reliability, logging, and…