Data Engineer – Performance Management

The Walt Disney Company

Data Engineer designing and maintaining data ingestion and transformation pipelines at Disney. Focused on operational transparency, analytics, and decision support through data.

Posted 4/30/2026full-timeLake Buena Vista • California, Florida, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $84,800 - $113,600 per yearWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain data ingestion and transformation pipelines
Develop scalable ETL/ELT processes using Python, SQL, and workflow orchestration tools
Create and maintain data models that enable consistent downstream consumption by analytics and visualization tools
Implement data quality checks, validation logic, and monitoring to ensure accuracy, reliability, and traceability of data assets
Partner with analysts and stakeholders to understand reporting needs and translate them into data solutions
Support the evolution of ad-hoc and manual data processes into more automated, standardized, and sustainable patterns
Document data sources, pipelines, assumptions, and transformations
Operate with a strong sense of ownership for the health, performance, and integrity of the data

Requirements

What you’ll need

Minimum of 3+ years of experience in a data engineering, software engineering, analytics engineering, or similar technical role
Proficiency in Python and SQL for data processing, automation, and transformation
Experience building or maintaining ETL/ELT pipelines and working with structured and semi-structured data
Familiarity with modern cloud data warehouses such as Snowflake and related data tooling ecosystems
Experience working with operational or business data sourced from enterprise tools, shared files, or spreadsheets
Comfort working in iterative delivery models (Kanban and/or Agile) with shifting priorities and stakeholder-driven demand
Demonstrated ability to write maintainable, well-documented code with attention to data quality and long-term sustainability
Practical experience using AI-assisted tools to support development workflows, including code generation, debugging, and documentation
Strong problem-solving skills, attention to detail, and the ability to work productively with minimal day-to-day technical direction
Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Electrical or Electronics Engineering, or a comparable field of study, and/or equivalent work experience

Benefits

Comp & perks

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLETLELTdata modelingdata quality checksdata validationdata transformationautomationAI-assisted tools

Soft Skills

problem-solvingattention to detailownershipcommunicationcollaborationadaptabilitydocumentationstakeholder engagementiterative deliverysustainability

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Software EngineeringBachelor’s degree in Electrical EngineeringBachelor’s degree in Electronics Engineering