Data Engineer – Ads Data Platform & Pipeline Development
Join careerzynith: Shape the Future of Entertainment Data
Are you passionate about transforming raw data into powerful business insights that influence strategic decisions at a global scale? careerzynith, the world's leading internet entertainment service, is looking for a talented and driven Data Engineer to join our dynamic Ads Data Engineering team. With over 220 million memberships spanning more than 190 countries, careerzynith delivers an unparalleled catalog of television series, documentaries, and feature films across countless genres and languages. As we continue to innovate, our newly launched ad-supported tier has opened doors to an even broader audience, creating exciting new opportunities for data professionals to make a real impact.
This is more than just a job — it's an invitation to become part of a fast-growing, highly collaborative engineering community that thrives on technical excellence, curiosity, and continuous learning. If you love solving complex data challenges, designing scalable architectures, and partnering with business leaders to drive measurable outcomes, this role is tailor-made for you.
About the Role
As a Data Engineer on the Ads Data Engineering team at careerzynith, you will sit at the heart of building a sophisticated data ecosystem that powers our understanding of how advertising influences our rapidly expanding business. You will be an integral member of a larger data engineering organization within the Content and Studio Data Engineering organization, surrounded by brilliant engineers who value mentorship, knowledge sharing, and pushing the boundaries of what's possible with data.
Your primary focus will be designing, developing, and maintaining rich, connected, and easily accessible datasets that capture critical information about ad inventory, forecasting, targeting, and overall advertising performance. These foundational data assets will be consumed across multiple business areas and functions — from powering business intelligence dashboards to fueling feature engineering for advanced statistical models. The scope of this work is growing rapidly, offering you unprecedented opportunities to shape careerzynith's exciting journey into the advertising space.
Key Responsibilities
Design and Build Core Data Models: Architect, strengthen, and extend the foundational data models that our Ads functions rely on to answer critical business questions. You will envision how disparate data elements from multiple sources fit together cohesively and bring that vision to life.
Own Critical Data Assets: Take full ownership of key components of careerzynith's Ads data model. Collaborate closely with cross-functional stakeholders to understand requirements, design tables using programming and data warehousing best practices, and build robust data pipelines that ensure timely delivery of high-quality data.
Partner with Analytics and Science Teams: Work hand-in-hand with Analytics Engineers, Data Scientists, and Software Engineers to create intuitive, well-structured datasets that serve a wide range of analytical and reporting needs.
Establish Governance Best Practices: Develop and implement best practices for the management of datasets containing sensitive information, ensuring compliance with privacy regulations and internal security standards.
Build Strong Collaborative Networks: Cultivate meaningful partnerships with data scientists, analytics engineers, and machine learning experts to foster a culture of shared learning and innovation.
Champion Data Quality: Be a passionate advocate for data quality, working tirelessly to deliver accurate, reliable, and impactful data products that drive business decisions.
Optimize for Scale and Performance: Build highly performant data pipelines and continuously optimize existing workflows to accommodate new features, growing data volumes, and evolving business needs.
Who You Are
Beyond technically capable, you are curious, creative, and persistent. You hold deeply considered beliefs but remain open to hearing all sides of a conversation, adapting your perspective when presented with compelling new evidence. You are a sharp communicator who can distill and explain complex data issues in clear, concise language that resonates with both technical and non-technical audiences.
Technical Depth: You bring a broad background and strong technical proficiency working with advertising data, and you understand how to architect solutions for scale, security, and measurable business impact.
Integrity and Judgment: You are a model of integrity, with exceptional judgment and the ability to make difficult decisions without hesitation.
Adaptability: You have a high tolerance for ambiguity and thrive in fast-changing environments where priorities can shift quickly.
Engineering Experience: You have hands-on experience building production-grade data pipelines, preferably using distributed processing frameworks such as Spark or Hive/Hadoop.
Data Modeling Expertise: You possess deep expertise in data modeling and establishing robust data architecture across diverse systems.
Speed and Ownership: You flourish in a fast-paced setting and see yourself as a true partner to the business, sharing the collective goal of moving the business forward.
Code Quality: You write code that is readable, transparent, and clean, taking immense pride in its craftsmanship.
Autonomy and Independence: You love freedom and dislike being micromanaged. Given the right context, you are fully capable of self-direction.
Quality Obsession: You are deeply passionate about data quality and delivering impactful data that influences the business.
What You Bring to the Table
Essential Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
Proven experience in data engineering, data warehousing, and data modeling for both batch and streaming environments
Expert-level proficiency in writing complex SQL and Python — you could practically do it in your sleep
Deep experience with Big Data technologies such as Hadoop, Spark, Pig, Hive, and Presto
Experience ingesting and modeling data from application APIs
Strong familiarity with team-based software development tools and best practices, including version control, code review, and CI/CD pipelines
Preferred Qualifications
Domain knowledge in advertising, data privacy, and regulations such as GDPR
Experience working within advertising ecosystems and ad-tech platforms
Familiarity with cloud-based data platforms and modern data lake architectures
Experience with orchestration tools such as Airflow or similar workflow management systems
Why You’ll Love Working at careerzynith
At careerzynith, we believe that great work happens when talented people are given the freedom, resources, and support they need to thrive. Our culture is built on collaboration, innovation, and a shared commitment to delighting our global audience.
Career Growth and Learning
We invest heavily in the professional development of our team members. You will have access to mentorship programs, internal tech talks, conferences, learning stipends, and countless opportunities to expand your skills and advance your career. Whether you aspire to become a principal engineer, a technical leader, or a specialist in a niche area of data engineering, careerzynith provides a clear path forward.
Work Environment and Culture
Our engineering teams operate with a high degree of autonomy and trust. We embrace diversity of thought, encourage healthy debate, and celebrate both individual contributions and team successes. careerzynith is committed to fostering an inclusive workplace where every voice is heard and valued. Our flexible work arrangements and focus on work-life balance ensure that you can do your best work while living a full life outside of it.
Compensation and Benefits
careerzynith offers a competitive compensation package designed to attract and retain top talent. This position offers an hourly rate of $25/hour, with a full-time schedule of 8 hours per day. Beyond the base pay, our comprehensive benefits package typically includes:
Comprehensive health, dental, and vision insurance
Generous paid time off and company holidays
Retirement savings plans with company matching
Parental leave and family-building support
Professional development budgets
Wellness programs and mental health resources
Stock option programs and performance bonuses (where applicable)
Take the Next Step
If you're ready to join a team that is reshaping the entertainment industry through the power of data, careerzynith wants to hear from you. This is your opportunity to work on challenging, high-impact projects alongside some of the brightest minds in the industry, all while enjoying the flexibility and support you need to do your best work.
Don't miss this chance to build the data infrastructure that will power the next generation of advertising at one of the most innovative companies in the world. Apply today and let's build something extraordinary together at careerzynith.
Apply for this job
Are you passionate about transforming raw data into powerful business insights that influence strategic decisions at a global scale? careerzynith, the world's leading internet entertainment service, is looking for a talented and driven Data Engineer to join our dynamic Ads Data Engineering team. With over 220 million memberships spanning more than 190 countries, careerzynith delivers an unparalleled catalog of television series, documentaries, and feature films across countless genres and languages. As we continue to innovate, our newly launched ad-supported tier has opened doors to an even broader audience, creating exciting new opportunities for data professionals to make a real impact.
This is more than just a job — it's an invitation to become part of a fast-growing, highly collaborative engineering community that thrives on technical excellence, curiosity, and continuous learning. If you love solving complex data challenges, designing scalable architectures, and partnering with business leaders to drive measurable outcomes, this role is tailor-made for you.
About the Role
As a Data Engineer on the Ads Data Engineering team at careerzynith, you will sit at the heart of building a sophisticated data ecosystem that powers our understanding of how advertising influences our rapidly expanding business. You will be an integral member of a larger data engineering organization within the Content and Studio Data Engineering organization, surrounded by brilliant engineers who value mentorship, knowledge sharing, and pushing the boundaries of what's possible with data.
Your primary focus will be designing, developing, and maintaining rich, connected, and easily accessible datasets that capture critical information about ad inventory, forecasting, targeting, and overall advertising performance. These foundational data assets will be consumed across multiple business areas and functions — from powering business intelligence dashboards to fueling feature engineering for advanced statistical models. The scope of this work is growing rapidly, offering you unprecedented opportunities to shape careerzynith's exciting journey into the advertising space.
Key Responsibilities
Design and Build Core Data Models: Architect, strengthen, and extend the foundational data models that our Ads functions rely on to answer critical business questions. You will envision how disparate data elements from multiple sources fit together cohesively and bring that vision to life.
Own Critical Data Assets: Take full ownership of key components of careerzynith's Ads data model. Collaborate closely with cross-functional stakeholders to understand requirements, design tables using programming and data warehousing best practices, and build robust data pipelines that ensure timely delivery of high-quality data.
Partner with Analytics and Science Teams: Work hand-in-hand with Analytics Engineers, Data Scientists, and Software Engineers to create intuitive, well-structured datasets that serve a wide range of analytical and reporting needs.
Establish Governance Best Practices: Develop and implement best practices for the management of datasets containing sensitive information, ensuring compliance with privacy regulations and internal security standards.
Build Strong Collaborative Networks: Cultivate meaningful partnerships with data scientists, analytics engineers, and machine learning experts to foster a culture of shared learning and innovation.
Champion Data Quality: Be a passionate advocate for data quality, working tirelessly to deliver accurate, reliable, and impactful data products that drive business decisions.
Optimize for Scale and Performance: Build highly performant data pipelines and continuously optimize existing workflows to accommodate new features, growing data volumes, and evolving business needs.
Who You Are
Beyond technically capable, you are curious, creative, and persistent. You hold deeply considered beliefs but remain open to hearing all sides of a conversation, adapting your perspective when presented with compelling new evidence. You are a sharp communicator who can distill and explain complex data issues in clear, concise language that resonates with both technical and non-technical audiences.
Technical Depth: You bring a broad background and strong technical proficiency working with advertising data, and you understand how to architect solutions for scale, security, and measurable business impact.
Integrity and Judgment: You are a model of integrity, with exceptional judgment and the ability to make difficult decisions without hesitation.
Adaptability: You have a high tolerance for ambiguity and thrive in fast-changing environments where priorities can shift quickly.
Engineering Experience: You have hands-on experience building production-grade data pipelines, preferably using distributed processing frameworks such as Spark or Hive/Hadoop.
Data Modeling Expertise: You possess deep expertise in data modeling and establishing robust data architecture across diverse systems.
Speed and Ownership: You flourish in a fast-paced setting and see yourself as a true partner to the business, sharing the collective goal of moving the business forward.
Code Quality: You write code that is readable, transparent, and clean, taking immense pride in its craftsmanship.
Autonomy and Independence: You love freedom and dislike being micromanaged. Given the right context, you are fully capable of self-direction.
Quality Obsession: You are deeply passionate about data quality and delivering impactful data that influences the business.
What You Bring to the Table
Essential Qualifications
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
Proven experience in data engineering, data warehousing, and data modeling for both batch and streaming environments
Expert-level proficiency in writing complex SQL and Python — you could practically do it in your sleep
Deep experience with Big Data technologies such as Hadoop, Spark, Pig, Hive, and Presto
Experience ingesting and modeling data from application APIs
Strong familiarity with team-based software development tools and best practices, including version control, code review, and CI/CD pipelines
Preferred Qualifications
Domain knowledge in advertising, data privacy, and regulations such as GDPR
Experience working within advertising ecosystems and ad-tech platforms
Familiarity with cloud-based data platforms and modern data lake architectures
Experience with orchestration tools such as Airflow or similar workflow management systems
Why You’ll Love Working at careerzynith
At careerzynith, we believe that great work happens when talented people are given the freedom, resources, and support they need to thrive. Our culture is built on collaboration, innovation, and a shared commitment to delighting our global audience.
Career Growth and Learning
We invest heavily in the professional development of our team members. You will have access to mentorship programs, internal tech talks, conferences, learning stipends, and countless opportunities to expand your skills and advance your career. Whether you aspire to become a principal engineer, a technical leader, or a specialist in a niche area of data engineering, careerzynith provides a clear path forward.
Work Environment and Culture
Our engineering teams operate with a high degree of autonomy and trust. We embrace diversity of thought, encourage healthy debate, and celebrate both individual contributions and team successes. careerzynith is committed to fostering an inclusive workplace where every voice is heard and valued. Our flexible work arrangements and focus on work-life balance ensure that you can do your best work while living a full life outside of it.
Compensation and Benefits
careerzynith offers a competitive compensation package designed to attract and retain top talent. This position offers an hourly rate of $25/hour, with a full-time schedule of 8 hours per day. Beyond the base pay, our comprehensive benefits package typically includes:
Comprehensive health, dental, and vision insurance
Generous paid time off and company holidays
Retirement savings plans with company matching
Parental leave and family-building support
Professional development budgets
Wellness programs and mental health resources
Stock option programs and performance bonuses (where applicable)
Take the Next Step
If you're ready to join a team that is reshaping the entertainment industry through the power of data, careerzynith wants to hear from you. This is your opportunity to work on challenging, high-impact projects alongside some of the brightest minds in the industry, all while enjoying the flexibility and support you need to do your best work.
Don't miss this chance to build the data infrastructure that will power the next generation of advertising at one of the most innovative companies in the world. Apply today and let's build something extraordinary together at careerzynith.
Apply for this job