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职位Walt Disney

Application Engineering Manager

Walt Disney

Application Engineering Manager

Walt Disney

Lake Buena Vista, FL, USA

·

On-site

·

Full-time

·

3d ago

Job Posting Title:

Application Engineering Manager:

Req ID:

10146729

Job Description:

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, Gen AI, data analytics, and scientific approaches such as optimization, and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making.

A Lead Application Engineer on the DDSI team will lead the technical aspects of software development projects by using their experience to design and deliver applications that are user-friendly, performant, integrated, measurable and extensible. Lead Application Engineers invent creative software solutions, lead problem-solving sessions, prioritize team tasks according to business needs, and enjoy being a technical leader in a collaborative environment.

In this role, as Lead Application Engineer, you will guide other Application Engineers and Sr. Application Engineers in the implementation of web-based analytic applications for internal DDSI customers such as Disney Entertainment and Disney Parks, Experiences, & Products. This role requires team leadership experience, a strong computing background, an AI-first mindset, excellent analytical and quantitative skills, and a passion for delivering quality solutions that satisfy business needs.

What You’ll Do :

  • Lead the technical application engineering efforts for designing, building, and delivering custom software supporting strategic business initiatives

  • Champion the adoption of GenAI tools to improve efficiency and productivity

  • Collaborate cross functionally with:

  • Product teams to define application requirements, priorities, estimates, and delivery plans

  • Data Science team to incorporate science models into user-friendly applications

  • Technology teams to deliver scalable, efficient, and automated cloud infrastructure services

  • Data Engineering teams to integrate high volume data into analytic solutions

Required Qualifications & Skills

  • Minimum 7 years of professional software development experience

  • Minimum 5 years of hands‑on Python development

  • Experience with Django and modern front‑end frameworks such as ReactJS

  • AI‑First Development & Productivity

  • Hands‑on experience applying generative AI tools to improve development workflows, testing practices, and documentation

  • Ability to identify and implement AI‑driven opportunities that enhance engineering efficiency and solution quality

  • Full‑Stack Architecture & Cloud Engineering

  • Proven experience architecting and building elegant, scalable full‑stack web ecosystems

  • Expertise across front‑end, back‑end, APIs, data persistence, caching, monitoring, scalability, and security

  • Strong understanding of cloud‑native design patterns and best practices

  • Complex Problem Solving with Large Datasets

  • Experience designing applications that solve complex data problems with intuitive, user‑friendly solutions

  • Proven ability to process and manage large, complex datasets

  • Experience with databases and data warehouses such as Postgre

SQL and Snowflake:

  • Technical Leadership

  • Demonstrated ability to lead technical projects end‑to‑end, from design through delivery

  • Experience estimating effort, managing priorities, meeting deadlines, and adapting to changing requirements

  • Ability to anticipate risks and resolve technical issues collaboratively within the team

  • Collaboration & Communication

  • Ability to communicate, collaborate and compromise with cross-functional business teams

  • Strong ability to communicate technical concepts clearly to business and technical stakeholders

Preferred Qualifications:

  • Analytics-driven application development

  • Experience developing software systems that leverage analytics to drive insights and decision‑making

  • AI systems & patterns

  • Experience designing and building AI‑based systems, including agentic workflows and retrieval‑augmented generation (RAG) patterns

  • Cloud & full-stack engineering

  • Expertise in ReactJS, Python, and Django

  • Proficient in AWS web application architecture

  • Product design & delivery

  • Experience with UX/UI design

  • Experience developing user scenarios, business requirements, mockups, and technical specifications

  • Data platform & orchestration

  • Experience with analytic and orchestration tools like Databricks, Airflow, or similar

  • Experience working with unstructured data

  • Developer tooling & standards

  • Experience evaluating, choosing, and rolling out software tools and component libraries

Education

  • Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience

#DISNEYTECH

#Disney Analytics

Job Posting Segment:

Corporate Strategy

Job Posting Primary Business:

Decision Science & Integration:

Primary Job Posting Category:

Software Engineer

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-04-15

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关于Walt Disney

Walt Disney

The Walt Disney Company (TWDC), commonly known as simply Disney, is an American multinational mass media and entertainment conglomerate headquartered at the Walt Disney Studios complex in Burbank, California.

10,001+

员工数

Burbank

总部位置

$201B

企业估值

评价

3.8

10条评价

工作生活平衡

2.8

薪酬

3.2

企业文化

3.5

职业发展

3.6

管理层

2.9

72%

推荐给朋友

优点

Amazing culture and benefits

Great brand recognition and networking opportunities

Innovative projects and talented colleagues

缺点

Work-life balance challenges and long hours

High expectations and pressure to perform

Pay and compensation could be better

薪资范围

59个数据点

Junior/L3

Principal/L7

Staff/L6

Junior/L3 · Decision Science Consultant

1份报告

$121,849

年薪总额

基本工资

$93,730

股票

-

奖金

-

$121,849

$121,849

面试经验

4次面试

难度

3.3

/ 5

时长

21-35周

录用率

50%

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

常见问题

Behavioral/STAR

Culture Fit

Past Experience

Technical Knowledge