{"id":736172,"url":"https://alion.io/job/rzr-senior-data-engineer","title":"Senior Data Engineer","company":{"id":685121,"name":"RZR","domain":"rzr.com","url":"https://alion.io/company/rzr-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":12,"ghost_share":0,"stale_share":0.083,"repost_share":0,"time_to_fill_p50_days":81,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":148000,"max_usd":279000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Fluentd","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-03-18T11:12:24Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-03T22:20:45Z","board_verified":true,"closed_at":null,"days_open":230,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":229},"description":"Who are we?\n\n 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.\n\nRole Overview\nRZR 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.\nKey Responsibilities\nArchitect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.\n\nLead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.\n\nPartner 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.\n\nDrive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.\n\nEstablish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.\n\nConduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.\n\nEvaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.\n\nRequired Skills / Experience\n6+ years of experience in data engineering, backend engineering, or distributed systems development.\n\nStrong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.\n\nSolid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.\n\nExperience designing efficient data models and schemas for analytical and real-time workloads.\n\nStrong experience with streaming and batch processing architectures.\n\nExperience with performance tuning, capacity planning, and troubleshooting production data systems.\n\nFamiliarity with data quality, monitoring, alerting, and operational best practices.\n\nKnowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.\n\nExcellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.\n\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.\n\nRZR is an equal opportunity employer\nRZR 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.\nRZR 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. 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