The Walt Disney Company

Lead Data Engineer

The Walt Disney Company Orlando, Florida, United States · $148K–$199K/yr

Entertainment Providers · 10,001+ employees

19 h ago
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

You will lead the development of data engineering frameworks and automation tools for the Helix enterprise data platform. This includes owning the technical health, design standards, and production-quality code for data pipelines and platform capabilities.

What they look for

Python SQL Data Engineering Snowflake AWS Automation Data Pipelines Metadata Management Orchestration API Development NoSQL Postgres DynamoDB Redis Observability Agile

Requirements

Candidates must have 7+ years of experience in data engineering with strong proficiency in Python and SQL. A bachelor's degree in a technical field or equivalent experience is required, along with expertise in cloud platforms and modern data tooling.

Benefits

Medical insurance Financial benefits Bonus Long-term incentive units

Full description

Job Posting Title:

Lead Data Engineer

Req ID:

10155437

Job Description:

About The Role & Team

Do you want to lead the development of tools that data engineers and business users rely on every day to build, ship, and govern data products at Disney Experiences? Helix is our enterprise data platform, powering everything from personalization to operational reporting across the business. Helix is scaling fast, and the tools engineers use to build on it need to keep pace.

Own the data engineering frameworks and capabilities for Orbit and Book of Work, defining how data sources and data products are configured, built, deployed, observed, and operated on Helix. You’ll set the technical design, write and review code, and partner with Data Architecture on key architectural decisions. This is a hands-on lead role. You’re accountable for the code that gets built, its quality, and what ultimately gets deployed.

This role sits in the Data Products & Platforms organization in Disney Experiences Technology and reports to the Director of Platform Strategy & Governance.

What You’ll Do: 

  • Own the build and integration of Orbit and Book of Work, including the reusable pipeline frameworks and engineering capabilities that take data sources and products from definition through build, deployment, and ongoing operation on Helix.
  • Design automation and AI capabilities that translate intent into data engineering action, reducing the manual steps between an identified need and a production-ready data source or product.
  • Design how application data, metadata, engineering artifacts, and workflow state move and persist across the platform to enable reliable data pipelines, data product development, automation, and end-to-end engineering workflows.
  • Write and review production-quality code for reusable data engineering frameworks and platform capabilities, including pipeline orchestration, data processing, transformation, services, APIs, metadata, and platform integrations.
  • Set the design standards and QA processes for both tools, ensuring data remains compatible, operable, and reliable across every connection, transmission, and storage system it touches.
  • Analyze how internal and external needs are evolving and recommend changes to systems and storage to keep pace.
  • Help scope, estimate, and plan large, complex projects, including budget.
  • Track emerging technologies and bring back concrete, informed recommendations.
  • Own the technical health of Orbit and Book of Work in production, including observability, incident escalation, root-cause analysis, and improvements that prevent recurring operational issues.

What You’ll Need: 

  •  7+ years of related work experience.
  • Strong data engineering skills in Python and SQL, with scripting experience for data extraction, transformation, automation, and building performant data solutions.
  • Experience across relational, NoSQL, cloud, and modern data platform technologies, including environments such as Snowflake, SQL Server, Postgres, DynamoDB, Redis, and AWS services such as Lambda, Kinesis, DMS, and AppFlow.
  • A strong focus on developer experience, including intuitive workflows, sensible defaults, observability, and reducing cognitive load for engineers.
  • Experience using AI, ML, or automation to remove meaningful manual work from data pipeline or data product delivery workflows.
  • Comfort setting technical direction and design standards for a team and defending those decisions.
  • Experience working in agile environments and partnering across engineering and business teams as requirements shift.
  • Familiarity with Snowflake and modern data platform tooling, such as Snowpipe Streaming and Snowsight, with the drive to keep growing into new data engineering tools and methods.

Required 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

The hiring range for this position in FL is $148,300 - $198,800 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:

DX Technology

Job Posting Primary Business:

Emerging Tech & Data

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-08-24

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