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About the Role

Design, build, and scale data foundations for AI adoption within Disney's Ad Platforms. This role involves owning data flow into AI-ready and optimized stores, partnering 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, playing a key role in developing reliable, real-time data foundations for faster and safer deployments across Disney Ad Tech.

Responsibilities

Build and maintain high-performance streaming and batch data pipelines for 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 aligned 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 to 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.

Requirements

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.
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.

Skills

Python
Java
SQL
Streaming data pipelines
Kafka
Flink
Spark
Kinesis
Embedding pipelines
Vector stores
Pinecone
Weaviate
FAISS
pgvector
Data modeling
Storage optimization
Retrieval patterns
Workflow orchestration tools
Airflow
Dagster
Testing for data pipelines
Monitoring for data pipelines
Automation for data pipelines
LLM orchestration frameworks
LangChain
LangGraph
Observability stacks
Datadog
Prometheus
Governance and compliance practices
Data frameworks
Registries
Accelerators
Data security
Data lineage
Auditability
Design documentation
System architecture reviews
Databricks
AWS big data tech stack (S3, Glue, MWAA)

Location

Glendale, CA, USA
Los Angeles, California
Seattle, WA
San Francisco, CA
USA - CA - Market St
USA - WA - 925 4th Ave

Work Type

Full time

Experience Level

5+ years of data engineering experience
At least 1 year in a lead or senior technical role

Education Level

Bachelor or above in computer science or a related quantitative field
Equivalent practical experience demonstrating advanced technical expertise

Salary/Compensations

Los Angeles, California: $141,900 to $190,300 per year
Seattle, WA: $148,700 to $199,400 per year
San Francisco, CA: $155,400 to $208,400 per year

Benefits

Bonus
Long-term incentive units
Medical benefits
Financial benefits
Other benefits

About the Company

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, and data scientists.
The organization builds and advances the technological backbone for Disney’s media business globally, marrying technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability.
The team works with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions globally.
Technologists design and build products and platforms powering Disney’s media, advertising, and distribution businesses.
Disney's technology and products serve as a signature doorway for fans' connections with brands like Disney+, Hulu, ESPN, ABC, and ABC News.
The company develops and implements groundbreaking products and techniques that shape industry norms and solve complex technical problems.
Ad Platforms is 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.
The Ads Data team transforms the advertising landscape across TV and streaming video through the power of data and AI, designing and building innovative solutions to measure and optimize the entire advertising lifecycle.