Data Engineer I

About this role

Job Posting Title: Data Engineer I Req ID: 10147074 Job Description: 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.   

Here are a few reasons why we think   you’d   love working here:  

Building the future of Disney’s media:   Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.   

Reach, Scale & Impact:   More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally .      

Innovation:   We develop and implement groundbreaking products and techniques that shape industry   norms and   solve complex and distinctive technical problems.   

Commerce, Data & Identity provides the core product management functions for areas crucial to Disney’s media businesses. These include initiatives and products that power digital commerce, identity, and growth, as well as those that reach uniquely across The Walt Disney Company enterprise, such as messaging and privacy, among others. Additionally, it   is responsible for   the data engineering, science, and products for Disney Entertainment & ESPN, along with their interconnection with other parts of The Walt Disney Company.   

About the Team  

T he Acquisition Marketing Engineering team owns the ingestion, modeling, and activation of acquisition and lifecycle marketing data across multiple platforms. We build and maintain large scale data pipelines that ingest vendor data (paid media, mobile attribution, search, social, display, email, and more), land it in cloud storage, and transform it into analytics-ready datasets powering acquisition reporting tools, dashboards, and executive insights. You will be a member of the engineering team driving multiple   transformations from   end ‑ to ‑ end .  

Job Summary:  

The Data Engineer   I   will support the design, development, and maintenance of data pipelines and transformation workflows that power acquisition reporting and marketing analytics. You will work across AWS, Databricks, Unity Catalog, Snowflake, and Airflow to help build reliable and scalable solutions for ingesting and preparing marketing platform data.  

You will collaborate with senior engineers, analytics partners, and marketing stakeholders to ensure data accuracy, consistency, and   timely   delivery for downstream dashboards and reporting. This role involves hands-on development, troubleshooting, and contributing to the ongoing modernization of our data ecosystem.  

Responsibilities and Duties of the Role:  

• Assist   in building and maintaining ETL/ELT pipelines for acquisition reporting using Databricks,   PySpark , SQL, and Unity Catalog under the guidance of senior engineers.  

• Support the migration of existing Snowflake SQL scripts and transformations into Databricks UC by updating queries,   validating   outputs, and helping implement governance best practices.  

• Contribute to developing ingestion processes for marketing vendor data, including data parsing, normalization, and quality validations.  

• Implement and   maintain   foundational data quality checks, monitoring alerts, and issue triage workflows using Databricks, Snowflake, Airflow, and internal tooling.  

• Partner with the Data Reliability Engineering team to   assist   with SLA monitoring, simple incident troubleshooting, and logging improvements.  

• Collaborate with analytics and marketing partners to understand data requirements and ensure accuracy of datasets used in dashboards and reporting.  

• Support performance tuning, logging improvements, and general pipeline reliability work.  

• Participate in engineering best practices, including code reviews, documentation, and contributing to shared frameworks and tools.  

Required Education, Experience/Skills/Training:  

• Strong   proficiency   in SQL (analytical SQL, complex joins, window functions).  

• Hands-on experience with   PySpark   and/or Spark SQL in production.  

• Good understanding of data modeling, ETL/ELT design patterns, and distributed data processing.  

• Experience building pi pelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.  

• Experience in AWS (S3, IAM, EC2, Glue, Lambda, or related services).  

• Experience with Airflow or similar orchestration tools.  

• Experience building robust ingestion pipelines and working with   semi ‑ structured   formats (JSON, Parquet, CSV).  

• Experience with Git/GitHub, CI/CD, and modern DevOps practices.  

• Excellent communication skills and ability to work with   cross ‑ functional   partners.  

Required Education     

• Bachelor’s degree in Computer Science , Information Systems, Software,   A dvanced Mathematics, Statistics, Data Engineering or comparable field of study, and/or equivalent work experience  

The hiring range for this position in Santa Monica, CA is $89,000 to $119,300 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. The base pay

Similar jobs

• Data Engineer — Bedrock-robotics · New York, NY
• Data Engineer — Baseten · San Francisco
• Data Engineer — Profound · New York, New York
• Data Engineer — Overflow · Remote
• Data Engineer — Axle · Rockville, MD
• Data Engineer — Eightsleep · San Francisco, CA or New York, NY
• Data Engineer — M9solutions · Springfield, VA - TS/SCI clearance required
• Data Engineer — Lightningai · New York, New York, United States