Manager, Data Engineering

The Walt Disney Company

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Lake Buena Vista, FL
Salary
$163,400–$219,100 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today
Closes
Oct 17, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $178k
This role $191k
$136k most similar roles pay here $229k

This role pays more than 58% of similar roles. Most pay $144,875–$211,262 — the shaded band above. At the midpoint, this role pays about $191k versus about $178k 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 127 open roles on FindRole.

Listed pay typically runs $148,300–$190,300 across 127 roles with salary data.

Most-posted roles

View all roles at The Walt Disney Company

At a glance

TL;DR · Manager, Data Engineering

As Manager, Data Engineering, you will join the Decision Science and Integration team to lead a talented group in researching, developing, and delivering advanced, GenAI-powered analytic data solutions. You will oversee the full data lifecycle, including acquiring and validating data, designing ETL/ELT pipelines, architecting databases and knowledge graphs, and integrating with enterprise platforms. Your role involves building intelligent, agentic systems for large-scale applications while managing team growth, performance, and strategic roadmaps. The position requires expertise in Python, SQL, and cloud tools like AWS, alongside experience with Snowflake, PostgreSQL, Aurora, Docker, Kubernetes, and GitLab or GitHub. You will solve complex data problems by bridging business needs with technical execution. Key competencies include knowledge of LLMs, RAG, and agentic orchestration to drive innovation across various entertainment and corporate functions.

What you'll do

  • Lead a team in the research, development, and delivery of GenAI-powered analytic data solutions.
  • Design and implement ETL/ELT pipelines while architecting databases and knowledge graphs.
  • Integrate diverse data sources into enterprise platforms to support large-scale, data-intensive applications.
  • Translate business goals from stakeholders into strategic technical development roadmaps.
  • Manage the full project lifecycle by scoping work, estimating effort, and removing organizational roadblocks.
  • Drive the adoption of generative AI tools and advanced technologies across the engineering organization.
  • Hire, mentor, and provide performance feedback to grow the capabilities of the engineering team.
  • Establish consistent design patterns, standards, and reusable tools for data engineering processes.

What we're looking for

  • Bachelor's degree in computer science, information systems, engineering, or a comparable field of study and/or equivalent experience.
  • Master's degree in computer science, information systems, engineering, or a comparable field of study (preferred).
  • 8+ years of experience in technology roles spanning data engineering, software engineering, and/or architecture.
  • 2+ years of experience leading and developing technology teams in a management capacity.
  • Working knowledge of generative AI concepts including LLMs, RAG, knowledge graphs, and agents with hands-on experience applying GenAI tools.
  • Experience designing, building, and maintaining ETL/ELT data pipelines using structured and unstructured data.
  • Proficiency in relational database design (PostgreSQL, Snowflake, or Aurora) and experience with modern cloud-based tools like AWS.
  • Experience with containerization technologies such as Docker and Kubernetes; proficiency in Python and SQL (preferred).

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