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Software Data Engineer

Disney thewaltdisneycompany.com Open · verified Oct 24, 2026
Burbank Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Disney. Burbank · full-time · $108,500–$145,500 base.

SalaryStated by Disney
$108,500 – $145,500
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationBurbank
EmploymentFull-time
Base pay$108,500–$145,500
PostedOct 9, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build tools for the Performance Marketing team, including data pipelines, campaign-planning systems and applications
  • Set team practices for data models and pipeline architecture, with attention to monitoring and documentation
  • Connect source systems to the teams, applications and people who use the resulting data
  • Turn prototypes into production-ready pipelines and applications with media and marketing colleagues
  • Add checks and monitoring so campaign changes are applied safely and business metrics stay accurate

What you bring

  • A computer science, information systems or software engineering degree, or equivalent professional experience
  • At least three years designing and delivering backend systems for production, with knowledge of design patterns
  • Experience using Spark and SQL, including building maintainable pipelines on large-scale data platforms
  • Strong judgment about practical AI and LLM uses in software development, and the ability to apply them

Who this fits

This role suits a mid-level data engineer who can work across technical and marketing teams and turn business needs into practical requirements. You’ll work from Burbank, California. The stated base salary range is $108,500 to $145,500 per year.

From the employer

Job Posting Title:

Software Data Engineer

Req ID:

10160911

Job Description:

About the Role & Team

Do you remember seeing trailers for The Devil Wears Prada 2 earlier this summer? What about digital spots for a cruise on the Disney Wish? Or the California Adventure Food and Wine Festival? If you did, it was likely because of the detailed planning and execution of The Walt Disney Company’s Enterprise Media and Marketing team…and if you didn’t – it’s probably because our targeting is that good.

We are looking for a Data Engineer to join the Performance Marketing arm of this media team. We are an integrated, cross-functional team of marketers, software engineers, data scientists, and analysts who help the Media team execute highly data-driven marketing campaigns and tactics.

As a Data Engineer, you will help expand our technology portfolio of innovative campaign planning tools, complex data science workflows, and elegant web applications that blend the art of advertising with the science of data-backed insights.

This role is unique – our team is embedded directly within the Disney media team. We're aligned, mission-driven, and free to move fast and innovate towards our goals. You'll tackle the challenges of executing and optimizing precise paid media strategies, using the latest technologies and tools. If you're excited about this, please get in touch – we'd love to hear from you!

What You Will Do

  • Contribute to the development of the suite of tools used by the Performance Marketing group

  • Drive data engineering, data modeling, and architectural standards within the team; uphold standards and rigor around pipeline development, observability, and documentation

  • Create and manage end-to-end data pipelines – from source system to end consumer teams, applications, and users

  • Collaborate with the broader team of media/marketing experts to rapidly iterate from prototypes to high-quality, production pipelines and applications

  • Implement quality controls, monitoring, and other safeguards to ensure optimizations are accurately and safely applied to in-flight ad campaigns and key business metrics are always presented accurately 

Required Qualifications & Skills

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field (or equivalent work experience).

  • 3+ years of experience designing and delivering backend architectures in a production environment, with a strong understanding of design patterns and best practices.

  • Strong opinions on how to best use AI/LLMs in the software development process; ability to quickly discern hype from value in the quickly evolving AI landscape (and an equal ability to put it into practice)

  • Experience with Spark and SQL; experience building simple and maintainable data pipelines on scaled data platforms

  • Ability to dive deep into any technical component

  • Experience working in a fast-paced environment with cross-functional teams to translate business needs into reality-based requirements

Preferred Qualifications    

  • Experience working effectively with data science teams 

  • Specific experience with our stack: Spark, Python, Databricks/Snowflake, AWS, Terraform

  • Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp and DSPs (Google Display Video, The Trade Desk, Yahoo) 

The hiring range for this position in Burbank, CA is $108,500.00 - $145,500.00 per year, which factors in various geographic regions. 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:

Unified Marketing

Job Posting Primary Business:

Media

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Burbank, CA, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-09-22
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$100k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.