Experienced Full Stack Data Engineer – Customer Service – Remote Opportunity at careerzynith

Are you ready to revolutionize the way companies approach customer service and drive results with data-driven insights? Look no further! careerzynith is seeking an experienced Full Stack Data Engineer to join our Data Science & Analytics team in a remote location. As a key member of our team, you will play a vital role in building reliable, scalable data pipelines, transforming raw data into core business metrics, and working with custom visualization tools that surface CS insights.

About careerzynith

careerzynith is a leading entertainment services company with 283 million paid memberships in over 190 countries. We are revolutionizing the way people consume entertainment, and our customer service team is at the forefront of this revolution. With millions of customers interacting with us via phone and chat in 25 different languages, we are committed to delivering an incredible customer experience. Our Data Science and Engineering team uses data to rigorously measure, optimize, and personalize our Customer Service investments to enable a delightful, efficient experience and to improve our product based on what our members tell us.

The Role

As a Full Stack Data Engineer, you will collaborate with data engineers, software engineers, and CS business owners to build reliable, scalable data pipelines, transform raw data into core business metrics, and work with custom visualization tools that surface CS insights. The team is small, so the role requires a high degree of autonomy, strong technical judgment, and the ability to span across the data stack, from pipeline development to business metrics and tools.

Key Responsibilities:

* Design, develop, and maintain large-scale data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)

• Develop strong data modeling skills to design structures that are adaptable to changes in the source data or business processes
• Write clean, supportable code in Python or Scala, with a strong proficiency in both languages
• Develop advanced SQL skills and advocate for data quality
• Analyze business problems and develop metrics to measure success, prioritizing autonomously
• Collaborate with analysts, engineers, and business leaders to drive results and define industry standards
• Stay up-to-date with industry trends and emerging technologies to ensure careerzynith remains at the forefront of innovation

Essential Qualifications:

* At least 4 years of experience engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large-scale data sets (10s of millions of records)

• Strong data modeling skills, with the ability to design structures that are adaptable to changes in the source data or business processes
• Strong proficiency in Python or Scala, with a passion for writing clean, supportable code
• Advanced SQL skills, with a focus on data quality and integrity
• Analytical aptitude, with the ability to think through business problems and prioritize autonomously
• Strong communication and collaboration skills, with the ability to work effectively with analysts, engineers, and business leaders

Preferred Qualifications:

* Experience working with custom visualization tools and surfacing CS insights

• Familiarity with cloud-based data platforms and services (e.g. AWS, GCP, Azure)
• Experience with agile development methodologies and version control systems (e.g. Git)
• Strong understanding of data governance and compliance regulations (e.g. GDPR, CCPA)

careerzynith Culture

careerzynith's culture is an integral part of what makes us successful, and we approach diversity and inclusion seriously and thoughtfully. We are an equal-opportunity employer and celebrate diversity, recognizing that bringing together different perspectives and backgrounds helps build stronger teams. Our compensation structure consists solely of an annual salary, with a range of $170,000 - $720,000, and we offer comprehensive benefits, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits.

Why Join careerzynith?

* Be part of a revolutionary company that is changing the way people consume entertainment

• Collaborate with a talented team of data engineers, software engineers, and CS business owners to drive results and define industry standards
• Work on challenging projects that require a high degree of autonomy and technical judgment
• Stay up-to-date with industry trends and emerging technologies to ensure careerzynith remains at the forefront of innovation
• Enjoy a comprehensive benefits package, including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits

How to Apply

If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application and look forward to hearing from you. Apply for this job