--- title: 'Senior Data Engineer at RZR Global Inc.' canonical: 'https://feeny.ai/job/senior-data-engineer-rzr-global-inc-san-francisco-mvsbg1m2gghy' type: 'job' last_seen: '2026-10-15' --- # Senior Data Engineer at RZR Global Inc. - **Company:** RZR Global Inc. - **Location:** San Francisco, CA - **Posted:** 2026-03-18 - **Last confirmed live:** 2026-10-15 - **Apply:** https://job-boards.greenhouse.io/rzr/jobs/4186020009 ## Job description Who are we? RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC. ## Role Overview RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights. ## Key Responsibilities - Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data. - Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness. - Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases. - Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms. - Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness. - Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives. - Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale. Required Skills / Experience - 6+ years of experience in data engineering, backend engineering, or distributed systems development. - Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd. - Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability. - Experience designing efficient data models and schemas for analytical and real-time workloads. - Strong experience with streaming and batch processing architectures. - Experience with performance tuning, capacity planning, and troubleshooting production data systems. - Familiarity with data quality, monitoring, alerting, and operational best practices. - Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus. - Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. RZR is an equal opportunity employer RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you. RZR provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. ## About RZR Global Inc. ## Company Overview - **One-liner**: RZR is an AI‑supervised growth marketing intelligence platform that unifies mobile user acquisition, retargeting, CTV, and influencer campaigns into a single performance system. - **Entity Type**: Private (no funding round disclosed) - **Headquarters**: San Francisco, California, United States - **Founded**: Not publicly available; the company has been operating for over a decade (previously known as Aarki) - **Founders**: Not publicly available ## Core Business - **Primary industry**: Advertising Services / Programmatic AdTech - **Target customers**: B2B – mobile app marketers, gaming studios, consumer brands, entertainment, food & beverage, retail - **Mission statement**: “To make brands impactful at scale.” ## Products & Services - **[Encore](https://www.rzr.com/encore/encore)**: Proprietary AI‑supervised machine learning bidding engine. Uses multi‑stage deep neural networks to predict install probability, purchase probability, and expected lifetime value at the impression level. Powers bid decisions across mobile UA, retargeting, and CTV. - **User Acquisition**: Identifies and acquires high‑LTV users before competitors bid on them, optimizing across SKAN, Android, and real‑time attribution environments. - **Retargeting**: Re‑engages lapsed users with the highest probability to return, spend, and stay active. - **CTV**: Reaches audiences in the living room with full‑screen creative and feeds warm audiences into mobile activation. - **Influencer**: Activates social proof at scale; performance data feeds back into the optimization loop. ## Market Standing - **Valuation / Market Cap**: Not disclosed - **Key Metric**: 65 employees (as of 2026); four owned‑and‑operated data centers processing 6M+ queries per second - **Notable Investors / Partners**: Not publicly available - **Growth Signals**: Global expansion with offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul; recent rebrand from Aarki to RZR signals strategic evolution toward a multi‑channel, retention‑led platform. ## Competitive Advantages - **Proprietary neural architecture** built on over a decade of performance data - **AI‑supervised machine learning** – human analysts monitor calibration, reallocate budgets, and direct traffic toward highest‑value cohorts, keeping models aligned to real business goals - **Cross‑channel learning** – audience signals, bidding logic, and performance learnings carry across mobile UA, retargeting, CTV, and influencer campaigns - **Owned infrastructure** – four data centers give full control over latency, scale, and data privacy - **iOS privacy resilience** – uses contextual signals and synthetic data to maintain prediction accuracy without IDFA ## Strategic Focus - **Retention‑led growth** across every channel, optimizing for lifetime value rather than single events - **Connected intelligence** – unifying mobile, TV, and social into one learning system - **Expanding CTV and influencer** as high‑attention channels that feed back into the mobile performance loop - **Continued investment in AI/ML** to compound performance over time ## Why Work Here - **Culture**: “Intelligence is measured by the impact it creates.” The company emphasizes hiring smart people who make intelligent decisions. - **Global team**: Offices in 7 countries across North America, Europe, Asia, and the Middle East – opportunities for cross‑cultural collaboration. - **Engineering focus**: Deep work in neural architecture, real‑time bidding, large‑scale data processing (6M+ queries/sec), and multi‑stage ML models. - **Remote / hybrid**: Not explicitly stated; given multiple office locations, a hybrid or office‑based model is likely. - **Perks**: Not publicly detailed, but the company highlights a “connected team delivering retention‑led growth at global scale” and a mission‑driven environment. ## Sources 1. [RZR Homepage](https://www.rzr.com/) 2. [RZR About Page](https://www.rzr.com/about) 3. [RZR Product Page](https://www.rzr.com/product) 4. [RZR Encore Page](https://www.rzr.com/encore/encore) 5. 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