Experienced YouTube Data Engineer - Business Intelligence & Analytics Expert for Remote Full-Time Opportunity
Unlock Your Career Potential as a YouTube Data Engineer
Join the world's leading video-sharing platform and be part of a dynamic team that drives business growth through data-driven decision-making. We're seeking an experienced YouTube Data Engineer to work remotely as a full-time employee, leveraging their expertise in business intelligence, analytics, and data engineering to propel our business forward.
About YouTube and the Role
YouTube is a global community where everyone has a voice, and stories are shared, discovered, and connected through our platform. As a Data Engineer on our Business Strategy and Operations team, you'll play a critical role in shaping cross-market priorities, improving capabilities, and driving efficiency across business operations. You'll be responsible for designing, building, and optimizing our data architecture, as well as collaborating with analysts to productionize and scale value-creating capabilities.
Key Responsibilities
Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to identify and define business data needs.
Design, build, and optimize data architecture and ETL pipelines to enable data-driven decision-making for business analysts, data scientists, and business users.
Work closely with analysts to productionize and scale value-creating capabilities, including data integrations, model features, and statistical and machine learning models.
Drive high standards in data reliability, data integrity, and data governance, ensuring accurate, consistent, and trustworthy data systems, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand pain points and data sourcing inefficiencies, recommend best practices, and lead analyst trainings.
Minimum Qualifications
To be considered for this role, you must possess:
A Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics, Engineering) or equivalent practical experience.
5+ years of experience in data engineering or business intelligence roles.
Experience with relational databases, including SQL queries, database definition, and schema design.
Proficiency in one or more programming languages (e.g., Python, Java, C++, etc.).
Preferred Qualifications
To stand out as a candidate, you should have:
A Master's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
Experience with data warehouses, distributed data platforms, and data lakes.
The ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders.
Excellent analytical thinking skills, with the ability to break down complex, multi-dimensional problems.
Outstanding business and technical communication, organizational, and problem-solving skills.
Skills and Competencies
To succeed in this role, you'll need to possess:
Strong data engineering and business intelligence skills, with experience in designing and implementing data architectures and ETL pipelines.
Proficiency in programming languages such as Python, Java, or C++.
Excellent analytical and problem-solving skills, with the ability to break down complex problems into manageable components.
Strong communication and collaboration skills, with the ability to work effectively with stakeholders across different departments.
A passion for data-driven decision-making and a commitment to driving business growth through data insights.
Career Growth Opportunities and Learning Benefits
As a Data Engineer at YouTube, you'll have the opportunity to work on complex and challenging projects, collaborating with cross-functional teams to drive business growth. You'll also have access to:
Professional development opportunities, including training and mentorship programs.
A dynamic and innovative work environment that encourages experimentation and learning.
A global community of professionals who share a passion for data-driven decision-making.
Work Environment and Company Culture
We're a remote-friendly company that values flexibility and work-life balance. As a remote employee, you'll have the opportunity to work from anywhere, at any time, as long as you have a stable internet connection. Our company culture is built around:
A commitment to innovation and experimentation.
A passion for data-driven decision-making.
A collaborative and inclusive work environment.
Compensation, Perks, and Benefits
We're offering a competitive hourly rate of $22-$30/hour, depending on experience. You'll also be eligible for a range of benefits, including:
Comprehensive health insurance.
Retirement savings plan.
Paid time off and holidays.
Access to cutting-edge technologies and tools.
Conclusion
If you're a motivated and experienced Data Engineer looking to join a dynamic team that drives business growth through data-driven decision-making, we want to hear from you. Apply now to unlock your career potential and join our team as a YouTube Data Engineer.
Apply Now
Apply Now
Join the world's leading video-sharing platform and be part of a dynamic team that drives business growth through data-driven decision-making. We're seeking an experienced YouTube Data Engineer to work remotely as a full-time employee, leveraging their expertise in business intelligence, analytics, and data engineering to propel our business forward.
About YouTube and the Role
YouTube is a global community where everyone has a voice, and stories are shared, discovered, and connected through our platform. As a Data Engineer on our Business Strategy and Operations team, you'll play a critical role in shaping cross-market priorities, improving capabilities, and driving efficiency across business operations. You'll be responsible for designing, building, and optimizing our data architecture, as well as collaborating with analysts to productionize and scale value-creating capabilities.
Key Responsibilities
Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to identify and define business data needs.
Design, build, and optimize data architecture and ETL pipelines to enable data-driven decision-making for business analysts, data scientists, and business users.
Work closely with analysts to productionize and scale value-creating capabilities, including data integrations, model features, and statistical and machine learning models.
Drive high standards in data reliability, data integrity, and data governance, ensuring accurate, consistent, and trustworthy data systems, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand pain points and data sourcing inefficiencies, recommend best practices, and lead analyst trainings.
Minimum Qualifications
To be considered for this role, you must possess:
A Bachelor's degree in a quantitative field (e.g., Computer Science, Math, Physics, Engineering) or equivalent practical experience.
5+ years of experience in data engineering or business intelligence roles.
Experience with relational databases, including SQL queries, database definition, and schema design.
Proficiency in one or more programming languages (e.g., Python, Java, C++, etc.).
Preferred Qualifications
To stand out as a candidate, you should have:
A Master's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
Experience with data warehouses, distributed data platforms, and data lakes.
The ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders.
Excellent analytical thinking skills, with the ability to break down complex, multi-dimensional problems.
Outstanding business and technical communication, organizational, and problem-solving skills.
Skills and Competencies
To succeed in this role, you'll need to possess:
Strong data engineering and business intelligence skills, with experience in designing and implementing data architectures and ETL pipelines.
Proficiency in programming languages such as Python, Java, or C++.
Excellent analytical and problem-solving skills, with the ability to break down complex problems into manageable components.
Strong communication and collaboration skills, with the ability to work effectively with stakeholders across different departments.
A passion for data-driven decision-making and a commitment to driving business growth through data insights.
Career Growth Opportunities and Learning Benefits
As a Data Engineer at YouTube, you'll have the opportunity to work on complex and challenging projects, collaborating with cross-functional teams to drive business growth. You'll also have access to:
Professional development opportunities, including training and mentorship programs.
A dynamic and innovative work environment that encourages experimentation and learning.
A global community of professionals who share a passion for data-driven decision-making.
Work Environment and Company Culture
We're a remote-friendly company that values flexibility and work-life balance. As a remote employee, you'll have the opportunity to work from anywhere, at any time, as long as you have a stable internet connection. Our company culture is built around:
A commitment to innovation and experimentation.
A passion for data-driven decision-making.
A collaborative and inclusive work environment.
Compensation, Perks, and Benefits
We're offering a competitive hourly rate of $22-$30/hour, depending on experience. You'll also be eligible for a range of benefits, including:
Comprehensive health insurance.
Retirement savings plan.
Paid time off and holidays.
Access to cutting-edge technologies and tools.
Conclusion
If you're a motivated and experienced Data Engineer looking to join a dynamic team that drives business growth through data-driven decision-making, we want to hear from you. Apply now to unlock your career potential and join our team as a YouTube Data Engineer.
Apply Now
Apply Now