Disneyland Hong Kong
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. The DE&E Product & Technology team is looking for a
Lead Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you’ll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you’ll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a
Lead Data Quality Engineer , you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you’re excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we’d love to hear from you. Responsibilities: Validate ETL logic, business logic, and data quality in
Snowflake ,
Databricks , and other data platforms before code changes are released to production. Partner with data engineers to identify potential failure points and proactively help catch issues early. Ensure the quality of every release using rigorous, data-driven testing practices. Develop
automated and reusable tests
to improve coverage, development velocity, and reduce regression risk. Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules. Contribute to and enhance the existing
test automation framework , with a focus on scalability and maintainability. Collaborate closely with
Data Analysts ,
Product Managers , and
Engineering teams
to ensure accuracy, completeness, and usability of the data. Basic Qualifications: Minimum of 7 years of related work experience Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Strong experience validating
data pipelines ,
ETL processes , and
data warehouses
in production environments. Expert-level
SQL
skills and hands-on experience working with
large datasets
(terabytes or more), capable of identifying data anomalies through efficient queries. Proficiency with
Snowflake ,
Hive ,
Databricks , and other modern data platforms. Solid
Python
skills and experience with
test automation
for data pipelines. Familiarity with tools like
Airflow
and
Spark
and understanding of
CI/CD principles . Strong collaboration and communication skills; able to work effectively across cross-functional teams. Preferred Qualifications: Experience with
BDD frameworks
(e.g., Behave) Experience working in
AWS
or other cloud environments Familiarity with
open-source data quality tools
like
Deequ ,
Great Expectations , or similar custom frameworks #DISNEYTECH 工作概要:
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.
The DE&E Product & Technology team is looking for a
Lead Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you’ll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you’ll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a
Lead Data Quality Engineer , you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you’re excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we’d love to hear from you. Responsibilities: Validate ETL logic, business logic, and data quality in
Snowflake ,
Databricks , and other data platforms before code changes are released to production.
Partner with data engineers to identify potential failure points and proactively help catch issues early.
Ensure the quality of every release using rigorous, data-driven testing practices.
Develop
automated and reusable tests
to improve coverage, development velocity, and reduce regression risk.
Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.
Contribute to and enhance the existing
test automation framework , with a focus on scalability and maintainability.
Collaborate closely with
Data Analysts ,
Product Managers , and
Engineering teams
to ensure accuracy, completeness, and usability of the data.
Basic Qualifications: Minimum of 7 years of related work experience
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Strong experience validating
data pipelines ,
ETL processes , and
data warehouses
in production environments.
Expert-level
SQL
skills and hands-on experience working with
large datasets
(terabytes or more), capable of identifying data anomalies through efficient queries.
Proficiency with
Snowflake ,
Hive ,
Databricks , and other modern data platforms.
Solid
Python
skills and experience with
test automation
for data pipelines.
Familiarity with tools like
Airflow
and
Spark
and understanding of
CI/CD principles .
Strong collaboration and communication skills; able to work effectively across cross-functional teams.
Preferred Qualifications: Experience with
BDD frameworks
(e.g., Behave)
Experience working in
AWS
or other cloud environments
Familiarity with
open-source data quality tools
like
Deequ ,
Great Expectations , or similar custom frameworks
#DISNEYTECH
The hiring range for this position in Los Angeles, CA and Bristol, CT is $152,200 to $204,100, in New York, NY and Seattle, WA is $159,500 to $213,900, and in San Francisco, CA is $166,800 to $223,600 per year. 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. 其他資訊: DISNEYTECH Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs Link opens in new window . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
#J-18808-Ljbffr
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. The DE&E Product & Technology team is looking for a
Lead Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you’ll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you’ll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a
Lead Data Quality Engineer , you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you’re excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we’d love to hear from you. Responsibilities: Validate ETL logic, business logic, and data quality in
Snowflake ,
Databricks , and other data platforms before code changes are released to production. Partner with data engineers to identify potential failure points and proactively help catch issues early. Ensure the quality of every release using rigorous, data-driven testing practices. Develop
automated and reusable tests
to improve coverage, development velocity, and reduce regression risk. Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules. Contribute to and enhance the existing
test automation framework , with a focus on scalability and maintainability. Collaborate closely with
Data Analysts ,
Product Managers , and
Engineering teams
to ensure accuracy, completeness, and usability of the data. Basic Qualifications: Minimum of 7 years of related work experience Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience Strong experience validating
data pipelines ,
ETL processes , and
data warehouses
in production environments. Expert-level
SQL
skills and hands-on experience working with
large datasets
(terabytes or more), capable of identifying data anomalies through efficient queries. Proficiency with
Snowflake ,
Hive ,
Databricks , and other modern data platforms. Solid
Python
skills and experience with
test automation
for data pipelines. Familiarity with tools like
Airflow
and
Spark
and understanding of
CI/CD principles . Strong collaboration and communication skills; able to work effectively across cross-functional teams. Preferred Qualifications: Experience with
BDD frameworks
(e.g., Behave) Experience working in
AWS
or other cloud environments Familiarity with
open-source data quality tools
like
Deequ ,
Great Expectations , or similar custom frameworks #DISNEYTECH 工作概要:
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.
The DE&E Product & Technology team is looking for a
Lead Data Quality Engineer to join our expanding quality engineering efforts across the Ads, Data, and eCommerce domains. As part of our mission to scale automation and enhance quality across diverse systems, this role will focus on building robust test automation frameworks and quality processes tailored to each team’s unique needs. In Ads, your work will help ensure that ad delivery systems serve relevant, timely, and high-quality advertisements, maximizing both viewer satisfaction and business revenue. For Data, you’ll ensure the integrity and performance of large-scale pipelines that power analytics and insights used across the organization. In eCommerce, you’ll help maintain seamless shopping experiences by catching integration and service-level issues early in the development cycle. When these systems work as intended, they drive better customer experiences, increase trust in our platform, and reduce costs associated with bugs in production. As a
Lead Data Quality Engineer , you will play a crucial role in strengthening test automation strategies, leading quality initiatives, and championing a culture of engineering excellence. This is a great opportunity to be part of a talented and collaborative team, with the autonomy to influence test architecture and the support to drive meaningful change. The ideal candidate is innovative, proactive, and thrives in dynamic, fast-paced environments. If you’re excited by the opportunity to shape quality across core pillars of our business and want your work to be impactful and visible at all levels, we’d love to hear from you. Responsibilities: Validate ETL logic, business logic, and data quality in
Snowflake ,
Databricks , and other data platforms before code changes are released to production.
Partner with data engineers to identify potential failure points and proactively help catch issues early.
Ensure the quality of every release using rigorous, data-driven testing practices.
Develop
automated and reusable tests
to improve coverage, development velocity, and reduce regression risk.
Translate business and technical requirements into test scenarios to validate KPIs, metrics, and business rules.
Contribute to and enhance the existing
test automation framework , with a focus on scalability and maintainability.
Collaborate closely with
Data Analysts ,
Product Managers , and
Engineering teams
to ensure accuracy, completeness, and usability of the data.
Basic Qualifications: Minimum of 7 years of related work experience
Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Strong experience validating
data pipelines ,
ETL processes , and
data warehouses
in production environments.
Expert-level
SQL
skills and hands-on experience working with
large datasets
(terabytes or more), capable of identifying data anomalies through efficient queries.
Proficiency with
Snowflake ,
Hive ,
Databricks , and other modern data platforms.
Solid
Python
skills and experience with
test automation
for data pipelines.
Familiarity with tools like
Airflow
and
Spark
and understanding of
CI/CD principles .
Strong collaboration and communication skills; able to work effectively across cross-functional teams.
Preferred Qualifications: Experience with
BDD frameworks
(e.g., Behave)
Experience working in
AWS
or other cloud environments
Familiarity with
open-source data quality tools
like
Deequ ,
Great Expectations , or similar custom frameworks
#DISNEYTECH
The hiring range for this position in Los Angeles, CA and Bristol, CT is $152,200 to $204,100, in New York, NY and Seattle, WA is $159,500 to $213,900, and in San Francisco, CA is $166,800 to $223,600 per year. 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. 其他資訊: DISNEYTECH Disability Accommodation for Employment Applications
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs Link opens in new window . We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
#J-18808-Ljbffr