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Added 1 min ago
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Lead Data Engineer – Experimentation
INSPYR Solutions
Santa Monica, CA
Description: Lead Data Engineer - Experimentation
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INSPYR Solutions

Lead Data Engineer – Experimentation

Santa Monica, CA, United States

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Job details

Apply by: Dec 10, 2026
Posting language: English
Posted: Nov 9, 2026

Original job description

Title: Lead Data Engineer

Client: The Walt Disney Company

Duration: 6+ months

Location: Santa Monica, CA (4x per week onsite)

Rate Range: $90-

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Description: Lead Data Engineer - Experimentation

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.
The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.
On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you'd love working for Disney Entertainment & ESPN Technology

Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come.
Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Job Summary:

Join the User Platforms organization as a Lead Data Engineer focused on Experimentation.
In this role, you will build and evolve the data foundations that enable experimentation, causal analysis, and product optimization across Disney streaming products.
You will design scalable data pipelines, experimentation data platforms, and analytical datasets that transform raw behavioral data into trusted insights that drive product decisions.
As part of Disney's rapidly evolving streaming ecosystem, you'll tackle complex business challenges that directly impact millions of subscribers across Disney+, Hulu, and ESPN. Your insights will shape Product roadmaps, pricing strategies, and user experience optimizations that drive measurable business growth.

Technical Responsibilities:

Build Experimentation Data Platforms: Design, develop, and maintain scalable data infrastructure supporting A/B testing, geo experiments, feature launches, and product analytics.
Develop Data Pipelines: Create reliable batch and streaming pipelines to ingest, transform, validate, and serve large-scale user, product, and engagement datasets.
Enable Experimentation at Scale: Build reusable frameworks, datasets, and tooling that allow teams to efficiently define experiments, measure outcomes, and analyze results.
Data Modeling and Architecture: Design dimensional models, feature-ready datasets, and data products optimized for analytics, experimentation, and machine learning use cases.
Data Quality and Governance: Implement automated validation, monitoring, lineage, and quality controls to ensure experiment results are accurate and trustworthy.
Production Data Systems: Build robust deployment workflows, CI/CD pipelines, observability, and operational processes for data products.
Partner with Stakeholders: Collaborate with Product, Engineering, Data Science, and Business teams to translate experimentation needs into scalable technical solutions.

Basic Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related technical field plus 7+ years of experience in data engineering, analytics engineering, or large-scale data platforms..
Strong experience designing and operating large-scale data pipelines and distributed data systems.
Deep understanding of data modeling, ETL/ELT patterns, streaming architectures, and data warehouse/lakehouse technologies.
Experience building data solutions that support experimentation, product analytics, personalization, or machine learning workflows.
Proficiency with Python, SQL, and modern data engineering frameworks.
Experience with cloud data platforms and technologies such as Databricks, Snowflake, Spark, Kafka, Airflow, or equivalent tools.
Experience implementing data quality frameworks, automated testing, monitoring, and governance.
Ability to communicate complex technical concepts clearly to technical and non-technical audiences.

Preferred Qualifications:

MS in computer science or a related quantitative field +5 years of relevant experience OR PhD + 3 years of relevant experience
Experience supporting experimentation platforms, A/B testing infrastructure, causal inference workflows, or product analytics systems.
Experience with ML data pipelines, feature engineering platforms, and model lifecycle systems.
Experience with production deployment practices including CI/CD, infrastructure automation, and observability.
Experience working in subscription-based businesses, streaming, advertising, or consumer products.
Proven track record of leadership and stakeholder/project management, including influencing cross-functional teams and delivering high-impact outcomes.
Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining quality.
Drive and maintain a culture of quality, innovation and experimentation.
Demonstrated experience mentoring colleagues on best practices and technical concepts for building large scale solutions.

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact HR@inspyrsolutions.com for assistance.

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

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