Data Engineer – Advertising Data Platform – Full‑Time – $25/hr – arenaflex

About arenaflex – Pioneering Entertainment & Advertising Innovation

arenaflex is a global leader in streaming entertainment, delivering premium movies, series, documentaries, and original content to more than 220 million members across 190+ countries. In November 2022, arenaflex expanded its business model by launching an ad‑supported tier, opening a new horizon for advertisers and viewers alike. This strategic move has created a vibrant ecosystem where data drives every decision, from ad inventory allocation to personalized viewer experiences. As part of this dynamic growth, arenaflex is building a world‑class Advertising Data Platform that powers insight, optimization, and revenue generation across the entire organization.

Why This Role Matters

The Advertising Data Platform sits at the heart of arenaflex’s data ecosystem. It enables product, content, and advertising teams to understand the impact of campaigns, forecast revenue, and refine targeting strategies. By joining this team, you will help shape the data foundation that fuels arenaflex’s next phase of growth, ensuring that advertisers receive accurate, timely, and actionable insights while maintaining the highest standards of data quality and privacy.

Key Responsibilities

• Design, build, and maintain core data models that support advertising analytics, reporting, and machine‑learning pipelines.
• Own end‑to‑end data pipelines that ingest, transform, and store data from multiple sources, including ad servers, third‑party APIs, and internal logging systems.
• Collaborate with cross‑functional partners—Product Managers, Data Scientists, Engineers, and Business Analysts—to translate business requirements into scalable data solutions.
• Develop and enforce data governance standards for advertising datasets, ensuring compliance with GDPR, CCPA, and internal privacy policies.
• Optimize query performance using advanced SQL, Python, and distributed processing frameworks (e.g., Hive, Spark, Hadoop) to deliver low‑latency analytics.
• Implement robust monitoring and alerting for data pipelines, guaranteeing data freshness, integrity, and reliability.
• Document data schemas, lineage, and usage guidelines to promote self‑service analytics across the organization.
• Mentor junior engineers and champion best practices in data engineering, testing, and code review.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 3+ years of professional experience building large‑scale data pipelines in a production environment.
• Proficiency in SQL (complex joins, window functions, CTEs) and at least one programming language such as Python or Java.
• Hands‑on experience with distributed data processing technologies—Hadoop, Hive, Spark, or similar.
• Solid understanding of data warehousing concepts, including dimensional modeling, star/snowflake schemas, and ETL best practices.
• Familiarity with data governance and privacy regulations (GDPR, CCPA) as they apply to advertising data.
• Strong communication skills—ability to translate technical concepts into clear business language for non‑technical stakeholders.

Preferred Qualifications & Skills

• Experience with ad‑tech platforms, ad‑server logs, or programmatic advertising data.
• Knowledge of data visualization tools (Looker, Tableau, Power BI) to create executive‑level dashboards.
• Exposure to cloud data platforms (AWS Redshift, Google BigQuery, Snowflake) and infrastructure‑as‑code practices.
• Background in building data products that support machine‑learning models for recommendation or forecasting.
• Familiarity with API integration and data extraction from third‑party services.
• Demonstrated ability to work in fast‑paced, ambiguous environments while maintaining high data quality standards.

Core Competencies for Success

• Analytical Mindset: Ability to dissect complex data problems, identify root causes, and propose elegant solutions.
• Collaboration: Thrive in a team‑oriented culture, building strong relationships with product, research, and engineering partners.
• Ownership: Take full responsibility for the reliability and performance of the data pipelines you create.
• Adaptability: Comfort with rapidly changing priorities, evolving business needs, and emerging technologies.
• Quality‑First Attitude: Commitment to writing clean, maintainable code and implementing rigorous testing.
• Curiosity & Continuous Learning: Proactive in staying current with industry trends, data engineering best practices, and advertising technology.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is shaped by the impact you deliver. As a Data Engineer on the Advertising Data Platform, you will have direct exposure to senior leadership, product strategy, and revenue‑critical initiatives. Opportunities include:

• Advancing to Senior Data Engineer or Data Platform Lead roles, overseeing larger data domains.
• Transitioning into Data Science or Machine‑Learning Engineering pathways, leveraging the same data assets you help build.
• Participating in internal hackathons, technical talks, and mentorship programs that foster innovation.
• Access to a generous education stipend for certifications, conferences, and online courses.
• Cross‑team rotations that broaden your expertise across content, recommendation, and ad‑operations domains.

Work Environment & Culture at arenaflex

arenaflex prides itself on a culture of inclusion, creativity, and relentless curiosity. Our teams operate in a hybrid model—flexible remote work combined with vibrant office spaces in Los Gatos, CA. We value:

• Transparency: Open communication channels, regular town‑halls, and clear roadmaps.
• Innovation: Time allocated for personal projects and experimentation.
• Diversity & Inclusion: Employee Resource Groups, inclusive hiring practices, and a supportive environment for all backgrounds.
• Well‑being: Comprehensive health plans, mental‑health resources, and generous paid time off.
• Recognition: Quarterly awards, peer‑nominated accolades, and performance‑based bonuses.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $25 per hour, complemented by a full‑time benefits package that includes:

• Medical, dental, and vision coverage for employees and dependents.
• 401(k) matching and financial planning resources.
• Paid parental leave, family‑care assistance, and flexible scheduling.
• Employee stock purchase plan (ESPP) and performance‑based equity grants.
• Generous vacation policy and company‑wide holidays.
• Wellness stipend, gym memberships, and virtual fitness classes.
• Free access to arenaflex streaming library for personal enjoyment.

How to Apply

If you are passionate about turning raw advertising data into strategic insight, love solving complex engineering challenges, and thrive in a collaborative, fast‑moving environment, we want to hear from you. Join arenaflex’s Advertising Data Platform team and help shape the future of ad‑supported streaming.

Apply Now – Start Your Journey with arenaflex!

Closing Thoughts

arenaflex is more than a streaming service; it is a data‑driven entertainment powerhouse where every line of code contributes to a richer viewer experience and a stronger advertising ecosystem. By becoming a Data Engineer on our Advertising Data Platform, you will play a pivotal role in unlocking revenue potential, safeguarding data privacy, and delivering measurable business impact. Take the next step in your career—apply today and help us build the data foundation for the next generation of entertainment.