Lead Data Engineer

Posted Yesterday
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Lake Buena Vista, FL, USA
In-Office
135K-181K Annually
Senior level
Digital Media • Gaming • News + Entertainment • Sports
The Role
Leads research, design, development, testing, deployment, and sustainment of advanced data engineering solutions using GenAI. Designs data pipelines, structures, databases, and architectures; translates business requirements into technical tasks; leads code reviews and project planning; collaborates across teams; and performs hands-on development using SQL, Python, cloud, containerization, orchestration, and source-control technologies.
Summary Generated by Built In

Job Posting Title:

Lead Data Engineer

Req ID:

10160738

Job Description:

The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, 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.


This is not a remote role. This team works in office.


What You Will Do

You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI.  You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions.  You will partner with the Decision Science Products, Decision Science, and client teams on critical projects.  Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.


Required Qualifications & Skills

  • 7+ years overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
  • Experience translating project scope and high-level requirements into technical data engineering tasks
  • Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
  • Experience with a variety of GenAI models, tools, and concepts
  • Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
  • 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL)
  • 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
  • 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4
  • Experience collaborating with multiple project teams in a fast-paced environment
  • Experience with defining and estimating level-of-effort data engineering activities
  • Experience with project and sprint planning
  • Ability to communicate technical concepts and solutions to non-technical team members
  • Experience designing and building data structures to support requirements
  • Multiple years of experience with ELT/ETL data pipeline development and maintenance
  • Multiple years of shown experience and expertise using SQL and Python
  • Experience using containerization technologies such as Docker or Kubernetes
  • Proven ability to work collaboratively in a multi-team environment

Preferred Qualifications

  • Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies
  • Experience defining GenAI architectures
  • Knowledgeable with Disney Parks attendance, reservations and/or products
  • Experience with cloud based technologies, preferably AWS EMR, EC2, and S3
  • Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe

Education

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

The hiring range for this position in Orlando, FL $135,200 to $181,200 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

Enterprise Technology and Data

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-09-24

Skills Required

  • 7+ years of experience in data engineering development across multiple environments, including Dev, QA, and Production, with DevOps deployment procedures
  • Experience translating project scope and high-level requirements into technical data engineering tasks
  • Experience defining solutions to sophisticated data engineering problems supporting advanced analytics
  • Experience with GenAI models, tools, and concepts
  • Understanding of Knowledge Graphs, Data Mesh, and data-sharing platforms
  • 3+ years designing and building relational databases, preferably Snowflake or PostgreSQL
  • 3+ years leading and deploying code using GitLab, GitHub, or similar source control
  • 2+ years using job scheduling software such as Apache Airflow, Amazon MWAA, GitLab Runners, or UC4
  • Experience collaborating with multiple project teams in a fast-paced environment
  • Experience defining and estimating data engineering level-of-effort activities
  • Experience with project and sprint planning
  • Ability to communicate technical concepts and solutions to non-technical team members
  • Experience designing and building data structures to support requirements
  • Multiple years of ELT and ETL data pipeline development and maintenance experience
  • Multiple years of experience using SQL and Python
  • Experience with containerization technologies such as Docker or Kubernetes
  • Proven ability to work collaboratively in a multi-team environment
  • Experience leading development of GenAI-based systems, including model selection, pipeline orchestration, and deployment strategies
  • Experience defining GenAI architectures
  • Knowledge of Disney Parks attendance, reservations, or products
  • Experience with cloud technologies, preferably AWS EMR, EC2, and S3
  • Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace, and Snowpipe
  • Bachelor's degree in computer science, information systems, software, electrical or electronics engineering, or a comparable field, or equivalent work experience

The Walt Disney Company Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Walt Disney Company and has not been reviewed or approved by The Walt Disney Company.

  • Pay Growth & Progression — Recent union agreements raised wage floors for large groups of park cast members—e.g., Disneyland’s $24/hour minimum rising to $26 over the contract and Walt Disney World’s path from $18 toward about $20–$20.50 by 2026—signaling upward movement in hourly pay. These steps are described as meaningful improvements for many frontline roles.
  • Healthcare Strength — Company materials outline medical, dental, and vision coverage for many full‑time roles, wellness resources, and (in Central Florida) access to Centers for Living Well clinics and pharmacy. References to mental‑health support and paid time off reinforce a strong core health offering.
  • Wellbeing & Lifestyle Benefits — Complimentary theme‑park admission and discounts on hotels, dining, merchandise, and recreation are positioned as signature perks. Education support through Disney Aspire adds notable lifestyle value for eligible hourly employees.

The Walt Disney Company Insights

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The Company
HQ: Burbank, CA
219,548 Employees
Year Founded: 1923

What We Do

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.

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