Senior Data Engineer – Scalable Data Platform & Cloud Architecture (Remote – Full-Time)
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About arenaflex – Pioneering the Future of Entertainment Data
arenaflex is a global leader in creating immersive experiences for audiences worldwide. With a heritage rooted in storytelling, technology, and innovation, arenaflex continuously transforms how content‑driven businesses capture, process, and deliver data‑rich insights. Our rapidly expanding Innovation and Entertainment Technology (IET) division—formerly known as the Diversion and ESPN Innovation team—combines world‑class engineering talent with a passion for entertainment, enabling our brands to stay ahead in a data‑intensive landscape.
As a fully remote organization, arenaflex empowers its employees to work from any location within the United States while maintaining a collaborative, high‑energy culture. We value curiosity, accountability, and a relentless drive to solve complex problems at scale. If you thrive in a fast‑moving, cloud‑first environment and want to shape the data foundation for some of the most beloved entertainment experiences, we invite you to explore the Senior Data Engineer role.
Why This Role Matters
The Senior Data Engineer will be a cornerstone of our Product Execution and Instrumentation team, responsible for designing, building, and operating the next generation of data pipelines that power content recommendation, audience analytics, and operational efficiency across arenaflex’s portfolio. This position offers a unique blend of technical depth, strategic influence, and cross‑functional collaboration—giving you the chance to make a tangible impact on both the business and the entertainment industry at large.
Key Responsibilities
Data Platform Design & Development
Architect, develop, and maintain robust data pipelines using Scala, Python, and PySpark that ingest, transform, and expose data at massive scale.
Design and implement ETL/ELT processes in both cloud (AWS, Snowflake, Databricks) and on‑prem environments, ensuring high reliability and performance.
Lead the migration toward a Lakehouse‑driven architecture, leveraging Delta Lake, Snowflake, and Databricks to unify analytics and operational workloads.
Collaborate with Data Product Managers, Data Architects, and Business Analysts to translate business requirements into scalable data solutions.
Operational Excellence & Reliability
Maintain and improve service level agreements (SLAs) for data availability, latency, and quality.
Implement monitoring, alerting, and automated recovery mechanisms using AWS CloudWatch, Datadog, or similar tools.
Document data models, pipeline logic, and operational procedures to ensure knowledge sharing and compliance.
Participate actively in Agile ceremonies (Scrum, Sprint Planning, Retrospectives) to drive continuous improvement.
Innovation & Optimization
Identify opportunities to automate repetitive processes, reduce cost, and improve data throughput.
Prototype emerging technologies—such as real‑time streaming with Kafka (referred to as “Wind River” in internal terminology) and serverless data processing—to keep arenaflex at the cutting edge.
Mentor junior engineers, fostering a culture of learning, code quality, and best practices.
Essential Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline (or equivalent professional experience).
5+ years of hands‑on experience building large‑scale data pipelines in a cloud environment.
Proficiency in SQL with strong query‑optimization skills; ability to design performant data sets.
Deep knowledge of Scala and Python for data processing, including experience with PySpark and Spark Structured Streaming.
Extensive experience with AWS services (S3, EMR, EC2, Lambda, Glue) and modern data warehouses such as Snowflake or Redshift.
Demonstrated expertise with Databricks and Delta Lake for building unified analytics platforms.
Solid understanding of data modeling, data warehousing concepts, and best practices for data governance.
Familiarity with Agile/Scrum methodologies and the ability to thrive in a fast‑paced, collaborative setting.
Strong communication and interpersonal skills, with a track record of influencing cross‑functional teams.
Preferred (But Not Required) Qualifications
Master’s degree in a quantitative field or a related advanced certification.
Experience with real‑time streaming technologies such as Kafka (or “Wind River”) and event‑driven architectures.
Knowledge of containerization (Docker, Kubernetes) and infrastructure‑as‑code (Terraform, CloudFormation).
Exposure to machine learning pipelines and feature‑store concepts.
Previous work in the entertainment, media, or streaming industry, understanding content‑centric data challenges.
Core Skills & Competencies
Analytical Thinking: Ability to dissect complex business problems and engineer data‑driven solutions.
Problem‑Solving Initiative: Proactive in investigating root causes and proposing innovative fixes.
Collaboration: Comfortable partnering with product, engineering, and analytics teams to drive shared outcomes.
Documentation Discipline: Commitment to clear, concise, and up‑to‑date technical documentation.
Scalability Mindset: Designing systems that can gracefully handle petabyte‑scale workloads.
Customer‑Centric Focus: Understanding the downstream impact of data quality on business users and end‑customers.
Career Growth & Learning Opportunities
At arenaflex, your career trajectory is shaped by both your ambitions and the organization’s commitment to continuous learning.
Technical Leadership Path: Progress to roles such as Lead Data Engineer, Data Platform Manager, or Chief Data Architect.
Cross‑Domain Mobility: Leverage your data expertise to transition into analytics, machine learning engineering, or product management.
Professional Development: Access to industry conferences, certifications (AWS, Snowflake, Databricks), and internal workshops.
Mentorship Programs: Both receive and provide mentorship, fostering a culture of knowledge transfer.
Work Environment & Culture at arenaflex
Remote work is a core pillar of our culture. We provide a robust digital collaboration suite, regular virtual town‑halls, and quarterly in‑person meet‑ups (when safe) to keep the community spirit alive.
Inclusive Atmosphere: Diversity of thought, background, and experience is celebrated.
Innovation Time: Employees are encouraged to dedicate up to 10% of their time to passion projects that could benefit the business.
Healthy Work‑Life Balance: Flexible scheduling, mental‑health days, and wellness stipends.
Recognition & Rewards: Regular shout‑outs, performance bonuses, and career milestone celebrations.
Compensation, Perks & Benefits
While exact figures vary based on experience, arenaflex offers a competitive salary range of $110,000 – $140,000 annually, complemented by a robust benefits package:
Comprehensive health, dental, and vision insurance.
401(k) plan with company match.
Generous paid time off (PTO) and holidays.
Remote‑work stipend for home office equipment.
Annual learning and development allowance.
Performance‑based bonuses and equity participation.
Employee assistance programs and mental‑health resources.
How to Apply
If you are ready to join a forward‑thinking, data‑centric team that powers world‑class entertainment experiences, we want to hear from you. Submit your résumé, a concise cover letter outlining your most relevant achievements, and any portfolio or GitHub links that demonstrate your data engineering expertise.
Apply Now
Closing Statement
At arenaflex, your work will directly influence how millions of fans discover and enjoy content across the globe. By joining our Remote Data Engineering team, you become part of a mission‑driven organization where technology meets imagination. Take the next step in your career—apply today and help us build the data foundations of tomorrow’s entertainment.
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Apply Now
About arenaflex – Pioneering the Future of Entertainment Data
arenaflex is a global leader in creating immersive experiences for audiences worldwide. With a heritage rooted in storytelling, technology, and innovation, arenaflex continuously transforms how content‑driven businesses capture, process, and deliver data‑rich insights. Our rapidly expanding Innovation and Entertainment Technology (IET) division—formerly known as the Diversion and ESPN Innovation team—combines world‑class engineering talent with a passion for entertainment, enabling our brands to stay ahead in a data‑intensive landscape.
As a fully remote organization, arenaflex empowers its employees to work from any location within the United States while maintaining a collaborative, high‑energy culture. We value curiosity, accountability, and a relentless drive to solve complex problems at scale. If you thrive in a fast‑moving, cloud‑first environment and want to shape the data foundation for some of the most beloved entertainment experiences, we invite you to explore the Senior Data Engineer role.
Why This Role Matters
The Senior Data Engineer will be a cornerstone of our Product Execution and Instrumentation team, responsible for designing, building, and operating the next generation of data pipelines that power content recommendation, audience analytics, and operational efficiency across arenaflex’s portfolio. This position offers a unique blend of technical depth, strategic influence, and cross‑functional collaboration—giving you the chance to make a tangible impact on both the business and the entertainment industry at large.
Key Responsibilities
Data Platform Design & Development
Architect, develop, and maintain robust data pipelines using Scala, Python, and PySpark that ingest, transform, and expose data at massive scale.
Design and implement ETL/ELT processes in both cloud (AWS, Snowflake, Databricks) and on‑prem environments, ensuring high reliability and performance.
Lead the migration toward a Lakehouse‑driven architecture, leveraging Delta Lake, Snowflake, and Databricks to unify analytics and operational workloads.
Collaborate with Data Product Managers, Data Architects, and Business Analysts to translate business requirements into scalable data solutions.
Operational Excellence & Reliability
Maintain and improve service level agreements (SLAs) for data availability, latency, and quality.
Implement monitoring, alerting, and automated recovery mechanisms using AWS CloudWatch, Datadog, or similar tools.
Document data models, pipeline logic, and operational procedures to ensure knowledge sharing and compliance.
Participate actively in Agile ceremonies (Scrum, Sprint Planning, Retrospectives) to drive continuous improvement.
Innovation & Optimization
Identify opportunities to automate repetitive processes, reduce cost, and improve data throughput.
Prototype emerging technologies—such as real‑time streaming with Kafka (referred to as “Wind River” in internal terminology) and serverless data processing—to keep arenaflex at the cutting edge.
Mentor junior engineers, fostering a culture of learning, code quality, and best practices.
Essential Qualifications
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical discipline (or equivalent professional experience).
5+ years of hands‑on experience building large‑scale data pipelines in a cloud environment.
Proficiency in SQL with strong query‑optimization skills; ability to design performant data sets.
Deep knowledge of Scala and Python for data processing, including experience with PySpark and Spark Structured Streaming.
Extensive experience with AWS services (S3, EMR, EC2, Lambda, Glue) and modern data warehouses such as Snowflake or Redshift.
Demonstrated expertise with Databricks and Delta Lake for building unified analytics platforms.
Solid understanding of data modeling, data warehousing concepts, and best practices for data governance.
Familiarity with Agile/Scrum methodologies and the ability to thrive in a fast‑paced, collaborative setting.
Strong communication and interpersonal skills, with a track record of influencing cross‑functional teams.
Preferred (But Not Required) Qualifications
Master’s degree in a quantitative field or a related advanced certification.
Experience with real‑time streaming technologies such as Kafka (or “Wind River”) and event‑driven architectures.
Knowledge of containerization (Docker, Kubernetes) and infrastructure‑as‑code (Terraform, CloudFormation).
Exposure to machine learning pipelines and feature‑store concepts.
Previous work in the entertainment, media, or streaming industry, understanding content‑centric data challenges.
Core Skills & Competencies
Analytical Thinking: Ability to dissect complex business problems and engineer data‑driven solutions.
Problem‑Solving Initiative: Proactive in investigating root causes and proposing innovative fixes.
Collaboration: Comfortable partnering with product, engineering, and analytics teams to drive shared outcomes.
Documentation Discipline: Commitment to clear, concise, and up‑to‑date technical documentation.
Scalability Mindset: Designing systems that can gracefully handle petabyte‑scale workloads.
Customer‑Centric Focus: Understanding the downstream impact of data quality on business users and end‑customers.
Career Growth & Learning Opportunities
At arenaflex, your career trajectory is shaped by both your ambitions and the organization’s commitment to continuous learning.
Technical Leadership Path: Progress to roles such as Lead Data Engineer, Data Platform Manager, or Chief Data Architect.
Cross‑Domain Mobility: Leverage your data expertise to transition into analytics, machine learning engineering, or product management.
Professional Development: Access to industry conferences, certifications (AWS, Snowflake, Databricks), and internal workshops.
Mentorship Programs: Both receive and provide mentorship, fostering a culture of knowledge transfer.
Work Environment & Culture at arenaflex
Remote work is a core pillar of our culture. We provide a robust digital collaboration suite, regular virtual town‑halls, and quarterly in‑person meet‑ups (when safe) to keep the community spirit alive.
Inclusive Atmosphere: Diversity of thought, background, and experience is celebrated.
Innovation Time: Employees are encouraged to dedicate up to 10% of their time to passion projects that could benefit the business.
Healthy Work‑Life Balance: Flexible scheduling, mental‑health days, and wellness stipends.
Recognition & Rewards: Regular shout‑outs, performance bonuses, and career milestone celebrations.
Compensation, Perks & Benefits
While exact figures vary based on experience, arenaflex offers a competitive salary range of $110,000 – $140,000 annually, complemented by a robust benefits package:
Comprehensive health, dental, and vision insurance.
401(k) plan with company match.
Generous paid time off (PTO) and holidays.
Remote‑work stipend for home office equipment.
Annual learning and development allowance.
Performance‑based bonuses and equity participation.
Employee assistance programs and mental‑health resources.
How to Apply
If you are ready to join a forward‑thinking, data‑centric team that powers world‑class entertainment experiences, we want to hear from you. Submit your résumé, a concise cover letter outlining your most relevant achievements, and any portfolio or GitHub links that demonstrate your data engineering expertise.
Apply Now
Closing Statement
At arenaflex, your work will directly influence how millions of fans discover and enjoy content across the globe. By joining our Remote Data Engineering team, you become part of a mission‑driven organization where technology meets imagination. Take the next step in your career—apply today and help us build the data foundations of tomorrow’s entertainment.
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Apply Now