Data Engineer

The Walt Disney Company

. Develop and sustain data engineering projects, ad-hoc requests, prototypes, and research initiatives .

Posted 9/24/2026full-timeUnited StatesMid-LevelSenior💰 $101,800 - $143,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and maintaining data pipelines using Python and SQL, with a strong understanding of ELT/ETL processes and data warehouse design. Proficient in leveraging GenAI tools and cloud architectures to deliver data-driven solutions and enhance automation.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyGenAI Tools FamiliarityDatabase Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ELT/ETL DevelopmentSource-to-Target MappingData Warehouse DesignAPI DevelopmentData OrchestrationBig Data TechnologiesData ManipulationAnalytic SystemsContainerization TechnologiesCloud Architecture

Soft Skills

Collaborative WorkCommunication of Technical Concepts

Tools & Technologies

PostgreSQLSnowflakeGitLabGitHubApache AirflowDockerKubernetesOpenAILangChainAWS Bedrock

Industry Keywords

Data EngineeringGenAIVector DatabasesRAG ArchitecturesTheme ParksStreamingMerchandise

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerETLKubernetesPostgresPythonSQL

About the role

Key responsibilities & impact

Develop and sustain data engineering projects, ad-hoc requests, prototypes, and research initiatives
Work with business, science, and technology teams to understand scope, requirements, business needs, and company-wide data
Design and deliver data pipelines for strategic data-driven solutions
Develop, enhance, and implement systems for advanced analytic data solutions
Aggregate and manipulate data for use in science models, visualizations, and applications
Leverage GenAI tools to improve efficiency and deliver AI-based solutions
Explore and integrate GenAI tools and techniques into data engineering processes to enhance automation and analytical capabilities
Develop understanding of business domains and processes and apply it to assigned deliverables

Requirements

What you’ll need

3+ years of experience in technology roles, preferably in data engineering
Strong experience with ELT/ETL data pipeline development and maintenance
Experience with source-to-target mapping
Proven expertise using Python and SQL
Familiarity with GenAI concepts and tools, including LLMs, embeddings, and prompt engineering
Ability to understand one or more business domains to assist in gathering data requirements and designing data solutions
Experience developing in multiple environments (Dev, QA, Prod, etc.) and leveraging DevOps procedures for code deployment/promotion
Strong understanding of database and data warehouse design
Proficiency with data platforms such as PostgreSQL or Snowflake
Experience managing and deploying code using GitLab/GitHub or similar source control products
Ability to formulate solutions and communicate complex technical concepts to non-technical team members
Proven ability to work collaboratively in a multi-team environment
Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Understanding of vector databases or RAG architectures
Experience with analytic systems
Experience with GenAI APIs or frameworks such as OpenAI, LangChain, or AWS Bedrock
Knowledge of theme parks, streaming, merchandise, or related business domains
Experience with large datasets and big data technologies such as Snowflake or Databricks
Demonstrated proficiency with API development
Experience with data orchestration tools such as Apache Airflow
Knowledge of cloud architecture and product offerings, preferably AWS
Experience with containerization technologies such as Docker or Kubernetes

Benefits

Comp & perks

Medical, financial, and/or other benefits
Bonus and/or long-term incentive units may be provided as part of the compensation package