Sr Data Engineer

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Glendale, CASan Francisco, CASeattle, WA
Salary: $138,900–$186,200 / yr
Posted: 7 days ago
Closes: Aug 28, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k

This role $163k

$130k most similar roles pay here $217k

This role pays less than 60% of similar roles. Most pay $144,245–$206,381 — the shaded band above. At the midpoint, this role pays about $163k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About The Walt Disney Company

The Walt Disney Company is a diversified global entertainment and media enterprise operating in segments including Disney Parks, Experiences and Products; Entertainment (ABC, Hulu, Disney+); and ESPN. Industry: Entertainment & Media

The Walt Disney Company currently has 147 open roles on FindRole.

Listed pay typically runs $148,300–$190,300 across 143 roles with salary data.

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View all roles at The Walt Disney Company

At a glance

TL;DR · Sr Data Engineer

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As a Senior Data Engineer at Disney's Ad Platforms organization in Glendale, CA, you will join a highly collaborative team focused on transforming the advertising landscape through data and AI. Your primary responsibilities include designing and building scalable data pipelines that power AI applications, ensuring reliable low-latency ingestion and high-throughput processing. You will work closely with the AI Core Engineering team to develop robust, real-time data foundations using technologies like Kafka, Flink, Spark, and Pinecone for vector stores. Additionally, you will mentor junior engineers, implement end-to-end observability in data systems, and ensure compliance with governance standards. Ideal candidates have 5+ years of data engineering experience, expertise in Python or Java, and a strong background in building streaming data pipelines and embedding workflows in large-scale environments.

Skills

Python Java SQL Kafka Flink Spark Kinesis Pinecone Weaviate FAISS pgvector Airflow Dagster AWS S3 Glue MWAA Databricks LangChain Prometheus Datadog

What you'll do

Design and build high-performance streaming and batch data pipelines for AI applications.
Implement embedding generation workflows and vector store integrations to support semantic search and AI assistants.
Develop scalable storage solutions and optimize retrieval patterns for cost-efficient architecture.
Integrate pipelines with shared AI platform services, ensuring reliable data delivery across teams.
Embed observability into data systems including metrics, logging, alerts, and failure analysis.
Mentor junior team members and lead by example through high-quality code and proactive problem solving.

What we're looking for

5+ years of data engineering experience with at least 1 year in a lead or senior technical role.
Expertise in building and scaling streaming data pipelines in large-scale, distributed environments using tools like Kafka, Flink, Spark, Kinesis.
Strong skills in Python, Java, and SQL, with expert-level proficiency in either Python or Java.
Experience with embedding pipelines and vector stores such as Pinecone, Weaviate, FAISS, pgvector.
Hands-on experience with workflow orchestration tools including Airflow, Dagster, and familiarity with testing, monitoring, and automation for data pipelines.

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