Sr Data Engineer

Job Posting Title:
Sr Data Engineer

Req ID:
10162237

Job Description:

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 think you’d love working here:

1.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.

2.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.

3.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

The Business Operations team helps guide and articulate technology strategy and research, and is responsible for driving the day-to-day operation of the Product & Technology organization, including: project and portfolio management and tracking; organization-level capital, space, and resource management and allocation; process management; technical incident management; and our administrative and workplace experience support team.

Job Summary:

We're looking for a Sr Data Engineer to build critical data pipelines and warehouse infrastructure, with a focus on making high-quality, governed data available to power both traditional analytics and AI use cases.

Responsibilities and Duties of the Role:

•You will be building end-to-end ELT pipelines and data models spanning multiple source systems and downstream consumers

•Build warehouse schemas (star schema, semantic/operational layers) that balance performance, scalability, and usability

•Establish and enforce data quality, lineage, and observability practices across pipelines

•Partner with AI/Data Leads, and product teams to translate AI data requirements into robust pipeline designs

•Contribute to making curated datasets available for downstream AI use cases — feature tables, embeddings pipelines, semantic layers

•Troubleshoot pipeline failures, data discrepancies, and performance issues

•Document data models, pipeline logic, and operational runbooks

•Participate in code reviews and follow team engineering standards

Required Education, Experience/Skills/Training:

Minimum and Preferred. Inclusive of Licenses/Certs (include functional experience as well as behavioral attributes and/or leadership capabilities)

Basic Qualifications

•Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience

•5+ years of professional experience in software or data engineering

•Strong SQL skills; Strong proficiency in Python (or similar) for pipeline development

•Experience with at least one cloud data warehouse like Snowflake (Preferred), BigQuery, Redshift, or similar

•Experience with ELT/ETL tooling like dbt (Preferred), Airflow, Fivetran, or similar and orchestration concepts

•Hands on experience with data modeling fundamentals (normalization, dimensional/star schema)

•Exposure to streaming or event-based data (SNS/SQS, Kafka, Kinesis) is a plus

•Exposure to AI/ML data needs (vector stores, embeddings, feature pipelines) is a plus, not required

Job Posting Segment:
Business Operations

Job Posting Primary Business:
BO - Technology Planning & Operations

Primary Job Posting Category:
Data Engineering

Employment Type:
Full time

Primary City, State, Region, Postal Code:
Seattle, WA, USA

Alternate City, State, Region, Postal Code:

Date Posted:
2026-10-14