> Markdown version of [/jobs/ext/4627606-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/4627606-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** The Walt Disney Company - **Location:** Orlando, FL, United States - **Experience:** Expert - **Salary:** $150,500.0 - $201,800.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Information Systems, Information Engineering, Extract Transform Load (ETL), Data Sharing, Data Structures, Relational Databases, DevOps, Electronic Data Interchange (EDI), Github, Graph Database, Job Scheduling, Python (Programming Language), PostgreSQL, Scrum Methodology, Data Mesh, Software Deployment, SQL Databases, Technical Data Management Systems, AI Infrastructure, Snowflake, Model Validation, Generative AI, Gitlab, Containerization, Kubernetes, Information Technology, Deployment Automation, Marketplace, Software Version Control, Data Pipelines, Amazon Elastic Mapreduce (EMR), Docker - **Published:** November 7, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3501822994&tx=UT5248TYV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 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