Experienced Full Stack Data Engineer – Web & Cloud Application Development for YouTube's Commercial Enterprise Approach and Operations Team
About the Company
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with each other in the process. Operating at the intersection of modern technology and boundless creativity, we move at the pace of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun – and we do all of it together.
About the Role
We are seeking an experienced Full Stack Data Engineer to join our Commercial Enterprise Approach and Operations team. As a key member of this team, you will be responsible for driving all cross-to-market capabilities for the YouTube business, including strategy and business operations, analytics and data science, partnership enablement, and product activation. You will work closely with stakeholders to discover and define business data needs, design, build, and optimize data architecture and ETL pipelines, and pressure the highest standards in data reliability, integrity, and governance.
Responsibilities
* Conduct requirements gathering and problem scoping sessions with business stakeholders, commercial enterprise users, and executive stakeholders to discover and define business data needs.
* Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for business data analysts, data scientists, and business users to enable data-driven decision-making.
* Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model functions, and statistical and machine learning models.
* Pressure the highest standards in data reliability, data integrity, and data governance, enabling accurate, regular, and trustworthy data sets, business intelligence products, and analyses.
* Interact with the analyst network, communicate with analysts to identify key user journeys and data sourcing inefficiencies, suggest best practices, and lead analyst trainings.
Requirements
* Bachelor's degree in a quantitative field (e.g., computer science, engineering, mathematics, physics) or equivalent relevant experience.
* 5 years of experience in data engineering or business intelligence roles.
* Experience with relational databases, including SQL queries, database design, and schema layout.
* Experience with one or more programming languages (e.g., Python, Java, C++).
* Strong analytical and problem-solving skills, with the ability to break down complex, multi-dimensional problems.
* Excellent business and technical communication, organizational, and problem-solving skills.
Preferred Qualifications
* Master's degree in a quantitative field (e.g., computer science, engineering, statistics, mathematics).
* Experience with data warehouses, distributed data platforms, and data lakes.
* Ability to navigate ambiguity and work in a fast-paced environment with multiple stakeholders.
* Strong data visualization and storytelling skills, with the ability to communicate complex data insights to non-technical stakeholders.
What We Offer
* Competitive salary range of $22 to $30 per hour.
* Opportunity to work with a dynamic and innovative team at the forefront of the tech industry.
* Collaborative and inclusive work environment that values diversity, equity, and inclusion.
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
* Professional development opportunities, including training, mentorship, and career growth.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What We're Looking For
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
Why You Should Work at YouTube
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with each other in the process. Operating at the intersection of modern technology and boundless creativity, we move at the pace of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun – and we do all of it together.
What We Value
We value diversity, equity, and inclusion, and are committed to creating a workplace that is welcoming and inclusive for everyone. We believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories.
How to Succeed at YouTube
To succeed at YouTube, you will need to be a motivated and experienced data engineer who is passionate about working with data to drive business insights and decision-making. You will need to have a strong background in data engineering, business intelligence, and analytics, and be able to work effectively in a fast-paced environment with multiple stakeholders.
What We're Looking for in a Candidate
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What to Expect in the Interview Process
In the interview process, you can expect to be asked a series of questions that will assess your technical skills, experience, and fit for the role. You will have the opportunity to ask questions and learn more about the company and the role.
What to Expect in the Job
In this role, you will be responsible for driving all cross-to-market capabilities for the YouTube business, including strategy and business operations, analytics and data science, partnership enablement, and product activation. You will work closely with stakeholders to discover and define business data needs, design, build, and optimize data architecture and ETL pipelines, and pressure the highest standards in data reliability, integrity, and governance.
What We Offer
We offer a competitive salary range of $22 to $30 per hour, comprehensive benefits package, including health insurance, retirement plan, and paid time off, and professional development opportunities, including training, mentorship, and career growth.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What to Expect in the Application Process
In the application process, you can expect to be asked to submit your resume and a cover letter, and to participate in a series of interviews with members of the hiring team.
What We're Looking for in a Candidate
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
Apply Now
Apply Now
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with each other in the process. Operating at the intersection of modern technology and boundless creativity, we move at the pace of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun – and we do all of it together.
About the Role
We are seeking an experienced Full Stack Data Engineer to join our Commercial Enterprise Approach and Operations team. As a key member of this team, you will be responsible for driving all cross-to-market capabilities for the YouTube business, including strategy and business operations, analytics and data science, partnership enablement, and product activation. You will work closely with stakeholders to discover and define business data needs, design, build, and optimize data architecture and ETL pipelines, and pressure the highest standards in data reliability, integrity, and governance.
Responsibilities
* Conduct requirements gathering and problem scoping sessions with business stakeholders, commercial enterprise users, and executive stakeholders to discover and define business data needs.
* Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for business data analysts, data scientists, and business users to enable data-driven decision-making.
* Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model functions, and statistical and machine learning models.
* Pressure the highest standards in data reliability, data integrity, and data governance, enabling accurate, regular, and trustworthy data sets, business intelligence products, and analyses.
* Interact with the analyst network, communicate with analysts to identify key user journeys and data sourcing inefficiencies, suggest best practices, and lead analyst trainings.
Requirements
* Bachelor's degree in a quantitative field (e.g., computer science, engineering, mathematics, physics) or equivalent relevant experience.
* 5 years of experience in data engineering or business intelligence roles.
* Experience with relational databases, including SQL queries, database design, and schema layout.
* Experience with one or more programming languages (e.g., Python, Java, C++).
* Strong analytical and problem-solving skills, with the ability to break down complex, multi-dimensional problems.
* Excellent business and technical communication, organizational, and problem-solving skills.
Preferred Qualifications
* Master's degree in a quantitative field (e.g., computer science, engineering, statistics, mathematics).
* Experience with data warehouses, distributed data platforms, and data lakes.
* Ability to navigate ambiguity and work in a fast-paced environment with multiple stakeholders.
* Strong data visualization and storytelling skills, with the ability to communicate complex data insights to non-technical stakeholders.
What We Offer
* Competitive salary range of $22 to $30 per hour.
* Opportunity to work with a dynamic and innovative team at the forefront of the tech industry.
* Collaborative and inclusive work environment that values diversity, equity, and inclusion.
* Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
* Professional development opportunities, including training, mentorship, and career growth.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What We're Looking For
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
Why You Should Work at YouTube
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with each other in the process. Operating at the intersection of modern technology and boundless creativity, we move at the pace of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun – and we do all of it together.
What We Value
We value diversity, equity, and inclusion, and are committed to creating a workplace that is welcoming and inclusive for everyone. We believe that everyone deserves to have a voice, and that the world is a better place when we connect, share, and build community through our stories.
How to Succeed at YouTube
To succeed at YouTube, you will need to be a motivated and experienced data engineer who is passionate about working with data to drive business insights and decision-making. You will need to have a strong background in data engineering, business intelligence, and analytics, and be able to work effectively in a fast-paced environment with multiple stakeholders.
What We're Looking for in a Candidate
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What to Expect in the Interview Process
In the interview process, you can expect to be asked a series of questions that will assess your technical skills, experience, and fit for the role. You will have the opportunity to ask questions and learn more about the company and the role.
What to Expect in the Job
In this role, you will be responsible for driving all cross-to-market capabilities for the YouTube business, including strategy and business operations, analytics and data science, partnership enablement, and product activation. You will work closely with stakeholders to discover and define business data needs, design, build, and optimize data architecture and ETL pipelines, and pressure the highest standards in data reliability, integrity, and governance.
What We Offer
We offer a competitive salary range of $22 to $30 per hour, comprehensive benefits package, including health insurance, retirement plan, and paid time off, and professional development opportunities, including training, mentorship, and career growth.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
What to Expect in the Application Process
In the application process, you can expect to be asked to submit your resume and a cover letter, and to participate in a series of interviews with members of the hiring team.
What We're Looking for in a Candidate
We are looking for a talented and experienced data engineer who is passionate about working with data to drive business insights and decision-making. If you have a strong background in data engineering, business intelligence, and analytics, and are looking for a new challenge, we encourage you to apply.
How to Apply
If you are a motivated and experienced data engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!
Apply Now
Apply Now