Data Engineer I
The Walt Disney Company, Santa Monica, CA, United States
Data Engineer I
Location:
Santa Monica, California, United States
Business:
Disney Entertainment and ESPN Product & Technology
Job Summary
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, innovators, creators, 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 worldwide.
Reasons we love this role
Building the future of Disney’s media:
Designers and builders are creating products and platforms that will power our media, advertising, and distribution for years.
Reach, Scale & Impact:
Our products and brands - Disney+, Hulu, ESPN, ABC, ABC News - are the gateway for fans worldwide.
Innovation:
We develop groundbreaking products and techniques that shape industry norms and solve complex technical problems.
Commerce, Data & Identity provides product management for digital commerce, identity, growth, and cross‑company initiatives. It handles data engineering, science, and products for Disney Entertainment & ESPN and connections across the company.
About the Team
The Acquisition Marketing Engineering team owns 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 contribute to end‑to‑end transformations.
Job Description
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 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 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 migration of existing Snowflake SQL scripts and transformations into Databricks UC by updating queries, validating outputs, and implementing governance best practices.
Develop 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, incident troubleshooting, and logging improvements.
Collaborate with analytics and marketing partners to understand data requirements and ensure accuracy of datasets used in dashboards.
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 pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
Experience with 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, Advanced Mathematics, Statistics, Data Engineering or comparable field of study, and/or equivalent work experience.
Compensation
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 base pay offered will consider internal equity and may vary by candidate’s region, knowledge, skills, and experience. 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 other benefits, dependent on level and position offered.
Equal Opportunity Employment
Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and stay relevant in a constantly evolving world.
Disability Accommodation for Employment Applications
The Walt Disney Company and its affiliated companies welcome individuals with disabilities. If you have a disability and believe you need a reasonable accommodation to search for a job opening or apply, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to requests related to accessibility of the online application system due to a disability.
#J-18808-Ljbffr
Location:
Santa Monica, California, United States
Business:
Disney Entertainment and ESPN Product & Technology
Job Summary
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, innovators, creators, 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 worldwide.
Reasons we love this role
Building the future of Disney’s media:
Designers and builders are creating products and platforms that will power our media, advertising, and distribution for years.
Reach, Scale & Impact:
Our products and brands - Disney+, Hulu, ESPN, ABC, ABC News - are the gateway for fans worldwide.
Innovation:
We develop groundbreaking products and techniques that shape industry norms and solve complex technical problems.
Commerce, Data & Identity provides product management for digital commerce, identity, growth, and cross‑company initiatives. It handles data engineering, science, and products for Disney Entertainment & ESPN and connections across the company.
About the Team
The Acquisition Marketing Engineering team owns 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 contribute to end‑to‑end transformations.
Job Description
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 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 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 migration of existing Snowflake SQL scripts and transformations into Databricks UC by updating queries, validating outputs, and implementing governance best practices.
Develop 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, incident troubleshooting, and logging improvements.
Collaborate with analytics and marketing partners to understand data requirements and ensure accuracy of datasets used in dashboards.
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 pipelines in Databricks, including Delta Lake, Unity Catalog, data governance, and Lakehouse patterns.
Experience with 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, Advanced Mathematics, Statistics, Data Engineering or comparable field of study, and/or equivalent work experience.
Compensation
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 base pay offered will consider internal equity and may vary by candidate’s region, knowledge, skills, and experience. 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 other benefits, dependent on level and position offered.
Equal Opportunity Employment
Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and stay relevant in a constantly evolving world.
Disability Accommodation for Employment Applications
The Walt Disney Company and its affiliated companies welcome individuals with disabilities. If you have a disability and believe you need a reasonable accommodation to search for a job opening or apply, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to requests related to accessibility of the online application system due to a disability.
#J-18808-Ljbffr