Data Engineer

The Walt Disney Company

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $101,800–$136,500 / yr
Posted: 3 days ago
Closes: Jul 18, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $163k

This role $119k

$90k most similar roles pay here $213k

This role pays less than 90% of similar roles. Most pay $126,800–$199,050 — the shaded band above. At the midpoint, this role pays about $119k versus about $163k 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 186 open roles on FindRole.

Listed pay typically runs $148,300–$198,800 across 183 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Data Engineer

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As a Data Engineer at Disney’s DDSI team, you will support the company’s enterprise Data Unification initiative by building and maintaining technical foundations for seamless data access across various sources. Your daily tasks include implementing federated querying capabilities, semantic integration solutions, and GraphQL interfaces to enable efficient discovery and querying of heterogeneous data sources. You will also develop data pipelines and integration processes using cloud platforms like Snowflake and Databricks, while leveraging Python and SQL for data transformation. The role requires expertise in semantic technologies, knowledge graphs, and vector or graph databases such as Qdrant and Neo4j, along with familiarity with RAG architectures and embeddings. Additionally, you will work closely with the Ontology/Semantic Librarian and other teams to optimize unified data access patterns and support AI use cases, ensuring a deep understanding of Disney’s media and entertainment domain processes.

Skills

GraphQL Snowflake Databricks PostgreSQL Python SQL Kafka Qdrant Neo4j Amazon Neptune Apache Airflow Apache Flink OpenAI LangChain AWS Docker Kubernetes Git Trino Presto

What you'll do

Build and maintain technical foundations for seamless data access across the enterprise.
Implement and optimize unified data access patterns and federated querying capabilities.
Develop semantic integration solutions using knowledge graphs and GraphQL interfaces.
Construct data pipelines and integration processes to support semantic and AI use cases.
Enable efficient discovery and querying of heterogeneous data sources through semantic layers.
Collaborate with business teams to apply domain knowledge to technical deliverables.

What we're looking for

3+ years of experience in data engineering or related technical roles
Strong expertise in implementing federated data access solutions and unified query layers
Proficiency with GraphQL for semantic data interfaces and APIs
Hands-on experience with cloud data platforms like Snowflake, Databricks, PostgreSQL, S3
Experience working with heterogeneous data sources including streaming platforms
Familiarity with semantic technologies, knowledge graphs, and ontology-driven architectures
Understanding of RAG architectures, embeddings, and LLM-augmented data access patterns

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