Sr Data Engineer

Job Posting Title:

Sr Data Engineer

Req ID:

Job Description:

Disney Entertainment and ESPN Product & Technology

Technology is at the heart of Disneys 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 Disneys media business globally.

The team marries technology with creativity to build world-class products enhance storytelling and drive velocity innovation and scalability for our are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Companys 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 youd love working here:

• Building the future of Disneys 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 Disneys technology and products serve as a signature doorway for fans connections with the companys brands and stories. Disney. Hulu. ESPN. ABC. ABC Newsand 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.

Ad Platforms is responsible for Disneys industry-leading ad technology and products driving advertising performance innovation and value in Disneys sports news and entertainment content across all media platforms.

Job Summary

The Ads Data team part of Disneys 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 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.

Youll 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 wed love to hear from you.

Responsibilities and Duties of the Role:

Data Architecture & Pipeline Development

• Build and maintain highperformance streaming and batch data pipelines that power AI applications ensuring reliable lowlatency ingestion and highthroughput 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 costefficient architecture and smooth production performance.

AI Data Foundations & Integration

• Implement AIoptimized 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.

Monitoring Quality & Reliability

• Embed endtoend 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 longterm maintenance.

Execution Collaboration & Leadership

• 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 productionready AI capabilities.

• Lead by example through strong execution highquality code and proactive problem solving.

• Influence design direction through technical proposals and handson delivery rather than formal ownership of standards.

Required Education Experience/Skills/Training:

Basic 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.

Preferred Qualifications

• 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.

Experience with:

• Python Java Databricks LangChain Vector Stores(Pinecone Weaviate FAISS pgvector) SQL AWS big data tech stack (like S3 Glue MWAA)

Required Education

• 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 $148700 - $199400 per year and in Glendale CA is $141900 - $190300 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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.

Job Posting Segment:

Ad Platforms

Job Posting Primary Business:

AP - Engineering

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:

USA - CA - 1200 Grand Central Ave

Date Posted: