Sr Data Engineer
The Walt Disney Company
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Job summary
The Walt Disney Company in Seattle, WA is seeking a Senior Data Engineer to design, build, and scale the data foundations powering AI-enabled advertising platforms across Disney Entertainment and ESPN Product & Technology.
You will own streaming and embedding pipelines, collaborate with AI core teams, mentor engineers, and deliver robust data solutions that enable faster, safer deployments for high-profile Disney ad tech applications.
Qualifications
- 5+ years of data engineering experience, with at least 1 year in a lead or senior technical role.
- Experience building and scaling streaming data pipelines in large-scale, distributed environments.
- Strong skills in Python, Java and SQL with expert level skill in either Python or Java.
- Proven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis).
- Experience with embedding pipelines and vector stores (e.g., Pinecone, Weaviate, FAISS, pgvector).
- Strong knowledge of data modeling, storage optimization, and retrieval patterns for large-scale systems.
- Hands-on experience with workflow orchestration tools (Airflow, Dagster, etc.).
- Strong collaboration and communication skills, able to partner across AI engineering, infra, and product teams.
- Familiarity with testing, monitoring, and automation for data pipelines.
Responsibilities
- Build and maintain high-performance streaming and batch data pipelines that power AI applications, ensuring reliable low-latency ingestion and high-throughput processing.
- Implement and extend embedding generation workflows, vector store integrations, and retrieval pipelines supporting semantic search, RAG systems, and AI assistants.
- Develop and optimize scalable storage and retrieval patterns, focusing on cost-efficient architecture and smooth production performance.
Skills
Education
Tools
Job description
Job ID 10143797 Location Seattle, Washington, United States / Glendale, California, United States Business Disney Entertainment and ESPN Product & Technology Date posted Sep. 17, 2026
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.
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.
The Ads Data team, part of Disney's Ad Platforms organization, is on a mission to transform the advertising landscape across TV and streaming video through the power of data and AI. We design and build innovative solutions that measure and optimize the entire advertising lifecycle — from planning and activation to measurement and insights.
At the heart of our work is a highly collaborative, cross-functional team that delivers end-to-end solutions across a wide spectrum of technologies, including machine learning, big data, microservices, and data visualization.
We are hiring a Senior Data Engineer to design, build, and scale the data foundations that power AI adoption across Ad Technology. In this role, you will own how data flows into AI ready and optimized stores, from streaming pipelines and embedding pipelines to vector stores and monitoring systems.
You’ll partner closely with the AI Core Engineering team to enable shared agents, registries, and developer tools with robust, reliable, real‑time data. As a Senior Engineer, you will design and implement robust data engineering solutions, mentor junior team members, and build resilient pipelines that support high‑profile AI applications. You will play a key role in developing reliable, real‑time data foundations, enabling faster and safer deployments across Disney Ad Tech.
This role is ideal for someone who combines strong technical expertise with a passion for leadership, system design, and delivering real business impact through data platforms. If you thrive in a fast‑paced, highly collaborative environment and are excited about building the foundation for the future of advertising, we’d love to hear from you.
Build and maintain high‑performance streaming and batch data pipelines that power AI applications, ensuring reliable low‑latency ingestion and high‑throughput processing.
Implement and extend embedding generation workflows, vector store integrations, and retrieval pipelines supporting semantic search, RAG systems, and AI assistants.
Develop and optimize scalable storage and retrieval patterns, focusing on cost‑efficient architecture and smooth production performance.
Implement AI‑optimized data models and storage patterns that align with broader enterprise architecture and platform requirements.
Integrate pipelines with shared AI platform services (agent frameworks, registries, feature stores), ensuring clean, versioned, and reliable data delivery.
Build reusable ingestion, transformation, and data processing components that streamline adoption across engineering teams.
Embed end‑to‑end observability into data systems, including metrics, structured logging, automated alerts, drift detection, and failure analysis.
Implement robust data quality validation, schema evolution safeguards, and governance/compliance controls.
Ensure deployed pipelines meet high standards for reliability, recoverability, auditability, and long‑term maintenance.
Drive execution by owning the full development lifecycle: prototyping, implementation, testing, deployment, optimization, and documentation.
Collaborate closely with infrastructure, ML engineering, product, and governance teams to deliver production‑ready AI capabilities.
Lead by example through strong execution, high‑quality code, and proactive problem solving.
Influence design direction through technical proposals and hands‑on delivery rather than formal ownership of standards.
5+ years of data engineering experience, with at least 1 year in a lead or senior technical role.
mandatory mandatory mandatory mandatory
Experience building and scaling streaming data pipelines in large‑scale, distributed environments.
Strong skills in Python, Java and SQL with expert level skill in either Python or Java.
Proven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis).
Experience with embedding pipelines and vector stores (e.g., Pinecone, Weaviate, FAISS, pgvector).
Strong knowledge of data modeling, storage optimization, and retrieval patterns for large‑scale systems.
Hands‑on experience with workflow orchestration tools (Airflow, Dagster, etc.).
Strong collaboration and communication skills, able to partner across AI engineering, infra, and product teams.
Familiarity with testing, monitoring, and automation for data pipelines.
Experience integrating AI‑ready data stores with LLM orchestration frameworks (LangChain, LangGraph, etc.).
Knowledge of observability and monitoring stacks (Datadog, Prometheus, or equivalent).
Background in governance and compliance practices for enterprise data platforms.
Experience building data frameworks, registries, or accelerators adopted by multiple teams.
Experience ensuring data security, lineage, and auditability in enterprise data environments
Skilled at writing design documentation, driving system architecture reviews, and influencing data engineering culture.
Python, Java, Databricks, LangChain, Vector Stores( Pinecone, Weaviate, FAISS, pgvector ), SQL, AWS big data tech stack (like S3, Glue, MWAA)
Bachelor or above in computer science or a related quantitative field; or equivalent practical experience demonstrating advanced technical expertise
#TECHATDISNEY
The hiring range for this position in Seattle, WA is $148,700 - $199,400 per year, and in Glendale, CA is $141,900 - $190,300 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.
At Disney Entertainment and ESPN Product & Technology, we’re blending imagination and innovation to reimagine the ways people experience and engage with the world’s most beloved stories and products. Our work is wide‑ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love.
Disney’s ability to marry world‑class technology with one‑of‑a‑kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world‑class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.
Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
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