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 - $136,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data engineering, including ELT/ETL pipeline development, Python and SQL proficiency, and familiarity with GenAI tools. Capable of collaborating across teams to design data solutions that meet business needs and enhance analytic capabilities.

Highest-signal resume keywords

Data EngineeringELT/ETL Pipeline DevelopmentPython ProgrammingSQL ProficiencyGenAI Tools Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentSource-to-Target MappingDatabase DesignData Warehouse DesignData AggregationData ManipulationAdvanced AnalyticsCode DeploymentDevOps ProceduresMulti-Environment Development

Soft Skills

Collaborative WorkCommunication of Technical ConceptsUnderstanding Business Domains

Tools & Technologies

PostgreSQLSnowflakeGitLabGitHubGenAI Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation SystemsSoftware EngineeringElectrical EngineeringElectronics Engineering

Industry Keywords

Data Engineering ProjectsData-Driven SolutionsAI-Based SolutionsData Requirements GatheringBusiness Needs Analysis

Tech Stack

Tools & technologies

ETLPostgresPythonSQL

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 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
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 business domains to gather data requirements and design data solutions
Experience developing in multiple environments such as Dev, QA, and Prod
Experience leveraging DevOps procedures for code deployment and 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 or GitHub
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

Benefits

Comp & perks

Medical, financial, and/or other benefits
Bonus and/or long-term incentive units may be provided