The Role
Lead the development of enterprise data engineering frameworks and platform capabilities for Orbit and Book of Work on Helix. Design and implement reusable pipelines, automation, AI-enabled workflows, data processing, APIs, metadata systems, observability, and platform integrations. Establish engineering and QA standards, guide architecture, write and review production code, support project planning, and own production reliability through incident response, root-cause analysis, and continuous improvement.
Summary Generated by Built In
Job Posting Title:
Lead Data EngineerReq ID:
10155437Job 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 TechnologyJob Posting Primary Business:
Emerging Tech & DataPrimary Job Posting Category:
Data EngineeringEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Orlando, FL, USAAlternate City, State, Region, Postal Code:
Date Posted:
2026-08-24Skills Required
- 7+ years of related work experience
- Strong data engineering skills in Python and SQL
- Scripting experience for data extraction, transformation, automation, and performant data solutions
- Experience with relational, NoSQL, cloud, and modern data platform technologies
- Experience with technologies such as Snowflake, SQL Server, Postgres, DynamoDB, Redis, AWS Lambda, Kinesis, DMS, and AppFlow
- Experience using AI, machine learning, or automation to reduce manual work in data pipeline or data product delivery workflows
- Experience setting technical direction and design standards for a team
- Experience working in agile environments and partnering across engineering and business teams
- Familiarity with Snowflake, Snowpipe Streaming, Snowsight, and modern data platform tooling
- Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, 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.
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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.
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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.
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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.
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The Company
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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