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Software Data Engineer

Burbank, CA, USA

Pay
$106,900–143,300/yearLocation-specific pay — pay source
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 remote position in Burbank, CA is $106,900.00 - $143,300.00 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:
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Work setup
Unconfirmed
Employment
Full-time — employment source
Employment Type: Full time Primary City, State, Region, Postal Code:
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What you’ll work on

Full posting
  • 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

From the employer’s posting
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
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
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

What you’ll bring

All qualifications

Preferred experience

  • Experience working effectively with data science teams
  • Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp and DSPs (Google Display Video, The Trade Desk, Yahoo)
Qualification wording
Experience working effectively with data science teams
Knowledge of media buying and ad platforms including DMPs, Google Ads, Facebook/Instagram, Innovid, LiveRamp and DSPs (Google Display Video, The Trade Desk, Yahoo)

Tools in this posting

  • Python
  • SQL
  • AWS
  • Spark
  • Snowflake
  • Databricks
  • Terraform
Source — Tool mentions in context
- 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)
- 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

Job description

View original posting ↗

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 remote position in Burbank, CA is $106,900.00 - $143,300.00 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

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Pay
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 remote position in Burbank, CA is $106,900.00 - $143,300.00 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:
Location & working pattern

Burbank, CA, USA

- 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 remote position in Burbank, CA is $106,900.00 - $143,300.00 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:
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Status in our records
Active
First seen by us
Sep 23, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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