Data Engineer (L4) – Privacy‑Focused Remote Part‑Time Role – arenaflex
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Why Join arenaflex?
arenaflex is a global entertainment and technology leader, delighting over 230 million members across more than 190 countries. With a portfolio that now includes a subscription‑backed ad‑supported tier, immersive gaming experiences, and live streaming events, we are redefining how people consume digital content. This rapid expansion has created unprecedented challenges and opportunities for the data that powers our products. At arenaflex, data is the lifeblood of every decision, and safeguarding that data while delivering the best user experience is a core mission.
Our Privacy & Security Data Engineering team sits at the intersection of cutting‑edge technology and stringent regulatory compliance. As a remote, part‑time professional, you will help us build secure, scalable, and high‑performance data pipelines that protect personal information while enabling sophisticated analytics and product innovation.
About the Role
As a Data Engineer (L4) – Privacy you will be part of a dynamic, cross‑functional squad that designs, implements, and maintains data architectures focused on privacy, compliance, and risk mitigation. You’ll collaborate with product, security, legal, and analytics teams to ensure that data flows efficiently, securely, and in alignment with global privacy regulations such as GDPR, CCPA, and others.
Key Responsibilities
Design & Build Robust Pipelines: Engineer scalable, fault‑tolerant data pipelines using technologies such as Flink, Kafka, Spark, and proprietary tools (e.g., Flash, Voila) to ingest, transform, and store both structured and unstructured data.
Privacy‑Centric Architecture: Develop data models and storage solutions that enforce data minimization, encryption at rest and in transit, and role‑based access controls.
ETL Development: Write efficient ETL jobs to aggregate, cleanse, and enrich data while preserving privacy‑by‑design principles.
Collaboration with Security Teams: Partner with privacy engineers, compliance officers, and product managers to translate business needs into secure data solutions.
Monitoring & Optimization: Implement observability, alerting, and performance tuning to keep pipelines reliable and cost‑effective.
Documentation & Governance: Maintain clear data lineage documentation, data dictionaries, and compliance artefacts for audit readiness.
Continuous Learning & Innovation: Stay ahead of emerging data‑privacy technologies and industry best practices; propose and prototype new solutions.
Essential Qualifications
Technical Expertise: Minimum 2 years of professional experience in data engineering or software development with a strong command of Java, Python, or Scala.
SQL Proficiency: Advanced SQL skills; comfortable writing complex queries, window functions, and optimization techniques.
Big‑Data Platforms: Hands‑on experience building pipelines on large‑scale platforms such as Hive, Flink, Kafka, Spark, or similar.
Privacy & Security Awareness: Demonstrated understanding of data protection regulations and best practices for securing personal data.
Problem‑Solving Mindset: Ability to translate ambiguous requirements into robust, scalable data models and workflows.
Communication Skills: Clear written and verbal communication; capable of articulating technical concepts to non‑technical stakeholders.
Preferred Qualifications
Experience with cloud data services (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
Familiarity with privacy‑enhancing technologies such as differential privacy, tokenization, or homomorphic encryption.
Past involvement in compliance‑focused projects or audits.
Contribution to open‑source data‑engineering projects.
Advanced degree in Computer Science, Data Science, or a related field.
Core Skills & Competencies
Analytical Thinking: Strong data intuition and the ability to spot anomalies or privacy risks early.
Collaboration: Works effectively in distributed, remote teams across time zones.
Adaptability: Thrives in a fast‑moving environment where priorities shift based on product launches and regulatory changes.
Ownership: Takes end‑to‑end responsibility for data pipelines—from design through production support.
Continuous Improvement: Actively seeks feedback, mentors junior engineers, and contributes to team process enhancements.
Career Growth & Learning Opportunities
arenaflex invests heavily in the professional development of its employees. As a part‑time Data Engineer, you will still have access to:
Mentorship from senior data architects and privacy experts.
Annual learning stipend for conferences (e.g., Strata Data Conference, Privacy & Data Protection Summits) and certifications (e.g., Certified Data Privacy Solutions Engineer).
Internal tech talks, hackathons, and cross‑team knowledge‑sharing sessions.
Clear career ladders that can transition you into senior engineering, lead data‑privacy roles, or product‑focused data science positions.
Work Environment & Culture at arenaflex
Our culture is built on three pillars: Innovation, Inclusion, and Integrity.
Innovation: We encourage experimentation. Whether you are building a new streaming recommendation engine or a privacy‑preserving analytics framework, you have the autonomy to explore creative solutions.
Inclusion: A remote‑first mindset means you can work from anywhere in the USA while staying connected through regular virtual coffee chats, team‑wide town halls, and an inclusive Slack community.
Integrity: Protecting user data is not just a compliance checkbox; it is a core value. Our teams celebrate transparency, ethical data handling, and accountability.
Our remote work policy includes flexible hours, a home‑office stipend, and generous paid‑time‑off that respects work‑life balance.
Compensation, Perks & Benefits (General Overview)
Competitive Hourly Rate: Aligned with industry standards for senior data engineers, with performance‑based bonuses.
Health & Wellness: Comprehensive medical, dental, and vision coverage (available to part‑time staff based on hours worked).
Retirement Savings: 401(k) plan with company match.
Learning & Development: Tuition reimbursement, certification subsidies, and access to a curated library of technical courses.
Equipment Stipend: One‑time allowance for ergonomic home‑office setup.
Community & Belonging: Employee resource groups, virtual socials, and volunteer opportunities.
How to Apply
If you are passionate about building privacy‑first data systems, love working with cutting‑edge streaming technologies, and thrive in a collaborative, remote environment, we want to hear from you. Click the link below to submit your application and become a key contributor to arenaflex’s mission of delivering safe, delightful experiences to millions worldwide.
Apply Now
Join the Future of Secure Entertainment
At arenaflex, your work directly influences how billions of people enjoy content responsibly. By joining our team, you help shape a world where data privacy and entertainment excellence go hand in hand. Take the next step in your career—apply today and help us build the secure data foundation of tomorrow.
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Apply Now
Why Join arenaflex?
arenaflex is a global entertainment and technology leader, delighting over 230 million members across more than 190 countries. With a portfolio that now includes a subscription‑backed ad‑supported tier, immersive gaming experiences, and live streaming events, we are redefining how people consume digital content. This rapid expansion has created unprecedented challenges and opportunities for the data that powers our products. At arenaflex, data is the lifeblood of every decision, and safeguarding that data while delivering the best user experience is a core mission.
Our Privacy & Security Data Engineering team sits at the intersection of cutting‑edge technology and stringent regulatory compliance. As a remote, part‑time professional, you will help us build secure, scalable, and high‑performance data pipelines that protect personal information while enabling sophisticated analytics and product innovation.
About the Role
As a Data Engineer (L4) – Privacy you will be part of a dynamic, cross‑functional squad that designs, implements, and maintains data architectures focused on privacy, compliance, and risk mitigation. You’ll collaborate with product, security, legal, and analytics teams to ensure that data flows efficiently, securely, and in alignment with global privacy regulations such as GDPR, CCPA, and others.
Key Responsibilities
Design & Build Robust Pipelines: Engineer scalable, fault‑tolerant data pipelines using technologies such as Flink, Kafka, Spark, and proprietary tools (e.g., Flash, Voila) to ingest, transform, and store both structured and unstructured data.
Privacy‑Centric Architecture: Develop data models and storage solutions that enforce data minimization, encryption at rest and in transit, and role‑based access controls.
ETL Development: Write efficient ETL jobs to aggregate, cleanse, and enrich data while preserving privacy‑by‑design principles.
Collaboration with Security Teams: Partner with privacy engineers, compliance officers, and product managers to translate business needs into secure data solutions.
Monitoring & Optimization: Implement observability, alerting, and performance tuning to keep pipelines reliable and cost‑effective.
Documentation & Governance: Maintain clear data lineage documentation, data dictionaries, and compliance artefacts for audit readiness.
Continuous Learning & Innovation: Stay ahead of emerging data‑privacy technologies and industry best practices; propose and prototype new solutions.
Essential Qualifications
Technical Expertise: Minimum 2 years of professional experience in data engineering or software development with a strong command of Java, Python, or Scala.
SQL Proficiency: Advanced SQL skills; comfortable writing complex queries, window functions, and optimization techniques.
Big‑Data Platforms: Hands‑on experience building pipelines on large‑scale platforms such as Hive, Flink, Kafka, Spark, or similar.
Privacy & Security Awareness: Demonstrated understanding of data protection regulations and best practices for securing personal data.
Problem‑Solving Mindset: Ability to translate ambiguous requirements into robust, scalable data models and workflows.
Communication Skills: Clear written and verbal communication; capable of articulating technical concepts to non‑technical stakeholders.
Preferred Qualifications
Experience with cloud data services (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
Familiarity with privacy‑enhancing technologies such as differential privacy, tokenization, or homomorphic encryption.
Past involvement in compliance‑focused projects or audits.
Contribution to open‑source data‑engineering projects.
Advanced degree in Computer Science, Data Science, or a related field.
Core Skills & Competencies
Analytical Thinking: Strong data intuition and the ability to spot anomalies or privacy risks early.
Collaboration: Works effectively in distributed, remote teams across time zones.
Adaptability: Thrives in a fast‑moving environment where priorities shift based on product launches and regulatory changes.
Ownership: Takes end‑to‑end responsibility for data pipelines—from design through production support.
Continuous Improvement: Actively seeks feedback, mentors junior engineers, and contributes to team process enhancements.
Career Growth & Learning Opportunities
arenaflex invests heavily in the professional development of its employees. As a part‑time Data Engineer, you will still have access to:
Mentorship from senior data architects and privacy experts.
Annual learning stipend for conferences (e.g., Strata Data Conference, Privacy & Data Protection Summits) and certifications (e.g., Certified Data Privacy Solutions Engineer).
Internal tech talks, hackathons, and cross‑team knowledge‑sharing sessions.
Clear career ladders that can transition you into senior engineering, lead data‑privacy roles, or product‑focused data science positions.
Work Environment & Culture at arenaflex
Our culture is built on three pillars: Innovation, Inclusion, and Integrity.
Innovation: We encourage experimentation. Whether you are building a new streaming recommendation engine or a privacy‑preserving analytics framework, you have the autonomy to explore creative solutions.
Inclusion: A remote‑first mindset means you can work from anywhere in the USA while staying connected through regular virtual coffee chats, team‑wide town halls, and an inclusive Slack community.
Integrity: Protecting user data is not just a compliance checkbox; it is a core value. Our teams celebrate transparency, ethical data handling, and accountability.
Our remote work policy includes flexible hours, a home‑office stipend, and generous paid‑time‑off that respects work‑life balance.
Compensation, Perks & Benefits (General Overview)
Competitive Hourly Rate: Aligned with industry standards for senior data engineers, with performance‑based bonuses.
Health & Wellness: Comprehensive medical, dental, and vision coverage (available to part‑time staff based on hours worked).
Retirement Savings: 401(k) plan with company match.
Learning & Development: Tuition reimbursement, certification subsidies, and access to a curated library of technical courses.
Equipment Stipend: One‑time allowance for ergonomic home‑office setup.
Community & Belonging: Employee resource groups, virtual socials, and volunteer opportunities.
How to Apply
If you are passionate about building privacy‑first data systems, love working with cutting‑edge streaming technologies, and thrive in a collaborative, remote environment, we want to hear from you. Click the link below to submit your application and become a key contributor to arenaflex’s mission of delivering safe, delightful experiences to millions worldwide.
Apply Now
Join the Future of Secure Entertainment
At arenaflex, your work directly influences how billions of people enjoy content responsibly. By joining our team, you help shape a world where data privacy and entertainment excellence go hand in hand. Take the next step in your career—apply today and help us build the secure data foundation of tomorrow.
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Apply Now