Experienced Full Stack Data Engineer – Customer Service – arenaflex

At arenaflex, we're revolutionizing the way people consume entertainment and storytelling around the world. With over 270 million members in 190 countries, we're constantly pushing the boundaries of innovation and excellence. As a leading entertainment services company, we're committed to delivering an unparalleled customer experience, and we're looking for talented individuals to join our Data Science and Engineering team.

The Role

As a Data Engineer (L5) – Customer Service at arenaflex, you'll play a critical role in building reliable, scalable data pipelines that transform raw data into core business metrics. You'll collaborate with data engineers, software engineers, and CS business owners to develop custom visualization tools that surface CS insights, enabling a delightful, efficient experience for our customers. With a small team and a high degree of autonomy, you'll need to possess strong technical judgment, analytical aptitude, and the ability to span across the data stack.

Key Responsibilities:

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

• Transform raw data into core business metrics, ensuring data quality and accuracy
• Collaborate with data engineers, software engineers, and CS business owners to develop custom visualization tools that surface CS insights
• Work with analysts, engineers, and business leaders to prioritize business problems and develop metrics
• Develop strong relationships with stakeholders to ensure data-driven decision-making
• Stay up-to-date with industry trends and emerging technologies, applying knowledge to improve data engineering practices

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, designing 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 advocacy
• Analytical aptitude, with the ability to think through business problems and prioritize autonomously
• Strong communication and productive partnership with analysts, engineers, and business leaders

Preferred Qualifications:

* Experience with cloud-based data engineering platforms (e.g., AWS, GCP, Azure)

• Familiarity with data warehousing and ETL tools (e.g., AWS Redshift, Google BigQuery)
• Knowledge of machine learning and AI concepts, with experience applying them to real-world problems
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Strong understanding of data governance and security principles

arenaflex Culture

At arenaflex, we're committed to creating a culture that values diversity, inclusion, and innovation. We believe that diverse perspectives and backgrounds are essential to building stronger teams and driving business success. As an equal-opportunity employer, we celebrate diversity and recognize that bringing together different perspectives and backgrounds helps us build a more inclusive and empathetic workplace.

Compensation and Benefits

arenaflex offers a comprehensive compensation package, including an annual salary, with the option to choose how much of your compensation you want in salary versus stock options. Our compensation range for this role is $170,000 - $720,000. We also provide a range of benefits, including:

• Comprehensive health plans
• Mental health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• Paid leave of absence programs

Work Environment and Career Growth

As a Data Engineer (L5) – Customer Service at arenaflex, you'll have the opportunity to work in a dynamic, fast-paced environment with a small team of talented engineers. You'll have the autonomy to design and develop data pipelines, collaborate with stakeholders, and drive business outcomes. With a strong focus on career growth and development, we offer opportunities for professional growth, training, and mentorship.

How to Apply

If you're passionate about data engineering, customer service, and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience, qualifications, and interests. We look forward to hearing from you! Apply Now! Apply for this job