Introduction to the Company and Role
Imagine being part of a team that revolutionizes the entertainment industry, shaping the evolution of storytelling worldwide. With over 278 million paid memberships in more than 190 countries, our company stands as a leader in providing TV series, films, and games across a wide variety of genres and languages. Our mission is to deliver an incredible customer experience, ensuring that when our members encounter any issues, we resolve them quickly and thoroughly, getting them back to streaming their favorite content.
Within our Data Science and Engineering (DSE) team, we utilize data to measure, optimize, and personalize our Customer Service investments. This enables us to provide a delightful, efficient experience and improve our product based on member feedback. We are now seeking an experienced Data Engineer (L5) to join our team, focusing on Customer Service. This role is an exceptional opportunity for a skilled data engineer to collaborate with cross-functional teams, build scalable data pipelines, and transform raw data into core business metrics.
About the Role
In this position, you will work closely with data engineers, software engineers, and Customer Service business owners to develop reliable, scalable data pipelines. You will transform raw data into actionable insights and work with custom visualization tools to surface Customer Service insights. Given the small team size, this role requires a high degree of autonomy, strong technical judgment, and the ability to work across the data stack, from pipeline development to business metrics and tools.
Your primary responsibilities will include:
- Designing, building, and maintaining large-scale data pipelines using big data technologies such as Hive, Presto, Spark, and Flink.
- Developing and implementing data models that are adaptable to changes in source data or business processes.
- Writing clean, supportable code in Python or Scala, with a strong focus on data quality and advanced SQL skills.
- Collaborating with analysts, engineers, and business leaders to identify business problems, develop metrics, and prioritize projects autonomously.
- Communicating complex technical concepts and insights effectively to both technical and non-technical stakeholders.
Essential Qualifications
To be successful in this role, you should have:
- At least 4 years of experience in engineering data pipelines using big data technologies on medium to large-scale data sets.
- Strong data modeling skills, with the ability to design structures that adapt to changes in source data or business processes.
- Proficiency in Python or Scala, with a passion for writing clean, supportable code.
- Advanced SQL skills and a strong advocacy for data quality.
- Analytical aptitude to think through business problems and prioritize projects autonomously.
- Excellent communication and collaboration skills, with the ability to work productively with analysts, engineers, and business leaders.
Preferred Qualifications
While not required, the following qualifications are highly desirable:
- Experience working in a Customer Service or similar environment, with a deep understanding of the challenges and opportunities in this space.
- Familiarity with cloud-based data platforms and technologies.
- Knowledge of data visualization tools and techniques, with the ability to communicate complex insights effectively.
- Experience working in an agile development environment, with a focus on continuous delivery and improvement.
Skills and Competencies
To excel in this role, you should possess:
- Technical Skills: Proficiency in big data technologies, data modeling, Python or Scala, advanced SQL, and data visualization tools.
- Analytical Skills: Ability to analyze complex data sets, identify patterns, and develop insights that inform business decisions.
- Communication Skills: Effective communication of technical concepts and insights to both technical and non-technical stakeholders.
- Collaboration Skills: Ability to work productively with cross-functional teams, including analysts, engineers, and business leaders.
- Problem-Solving Skills: Ability to think through complex business problems, prioritize projects, and develop effective solutions.
Career Growth Opportunities and Learning Benefits
At our company, we are committed to the growth and development of our employees. As a Data Engineer (L5) in our Customer Service team, you will have opportunities to:
- Work on complex, high-impact projects that drive business outcomes.
- Collaborate with experienced professionals in data science, engineering, and Customer Service.
- Develop new skills and expertise in big data technologies, data modeling, and data visualization.
- Contribute to the development of our data-driven culture, shaping the future of our Customer Service operations.
Work Environment and Company Culture
Our company culture is built on the principles of innovation, collaboration, and mutual respect. We believe in:
- Diversity and Inclusion: We celebrate diversity and recognize the value of different perspectives and backgrounds in building stronger teams.
- Equal Opportunities: We are an equal-opportunity employer, committed to providing a fair and inclusive work environment for all employees.
- Flexible Work Arrangements: We offer flexible work arrangements, including remote work options, to support the well-being and productivity of our employees.
- Professional Development: We invest in the growth and development of our employees, providing opportunities for learning, training, and career advancement.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:
- Annual Salary: A salary range of $170,000 - $720,000, depending on experience and qualifications.
- Stock Options: The opportunity to choose how much of your compensation you want in salary versus stock options.
- Comprehensive Benefits: Health plans, mental health support, 401(k) retirement plan with employer match, disability programs, health savings and flexible spending accounts, family-forming benefits, and life and serious injury benefits.
- Paid Time Off: Flexible time off arrangements, including vacation, holidays, and sick leave.
Conclusion
If you are a motivated and experienced data engineer looking for a challenging and rewarding role, we encourage you to apply for this position. As a Data Engineer (L5) in our Customer Service team, you will have the opportunity to work on complex projects, collaborate with cross-functional teams, and contribute to the development of our data-driven culture. Don't miss this chance to join our team and shape the future of our Customer Service operations. Apply today and let's build the future together!
Apply Now