{"id":1202724,"url":"https://alion.io/job/zeta-global-senior-software-engineer-data-platform","title":"Senior Software Engineer, Data Platform","company":{"id":5444,"name":"Zeta Global","domain":"zetaglobal.com","url":"https://alion.io/company/zeta-global","size_band":"1001-5000","is_staffing_agency":false,"is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":63,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":{"min":165000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"ClickHouse","optional":false},{"name":"Hadoop","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"StarRocks","optional":false},{"name":"Terraform","optional":false},{"name":"Trino","optional":false}],"status":"live","first_seen_at":"2026-09-24T19:19:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-25T00:58:22Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"WHO WE ARE \nZeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. \nTHE ROLE \nAs a Senior Data Platform Engineer, you will build and operate the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems. \n\nThis is a broad platform role. Engineers on the team take ownership across Lakehouse architecture, distributed compute, data quality, governance, lineage, security, access controls, and the operational systems that keep the platform running. Individual focus areas will change with team priorities, and you will contribute across the platform as needed. \n\nThe team also develops tooling for type-safe, testable data pipelines and operates Spark workloads on dynamically sized Hadoop clusters backed by EC2 Spot instances. We work closely with data engineers, data scientists, infrastructure teams, and product teams to make data dependable, easy to find, secure to use, and cost-effective to process. \n\nThis is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office.\nRESPONSIBILITIES \nBuild and operate Lakehouse, Spark, and distributed data-processing systems. \n\nImprove the performance, reliability, cost, and operational visibility of platform workloads. \n\nDevelop capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control. \n\nBuild the data context required for trusted reporting, ML models, and AI agents. \n\nEvaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit. \n\nAssess real-time OLAP technologies and identify appropriate production use cases. \n\nImprove deployment, observability, incident response, developer tooling, and platform operations. \n\nPartner with data scientists and data engineers to improve their experience using the platform. \n\nContribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow. \n\nMentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions. \n\nQUALIFICATIONS \n7+ years of software engineering experience. \n\nStrong experience in Python, Scala, Java, or another JVM language. \n\nExperience with Spark or another distributed data-processing framework. \n\nExperience building or operating production data platforms, backend systems, or distributed systems. \n\nFamiliarity with at least 1 of these areas: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP. \n\nWorking knowledge of AWS services such as EC2, S3, Athena, and IAM. \n\nExperience improving production reliability through monitoring, alerting, deployment automation, and incident response. \n\nStrong analytical, communication, and collaboration skills. \n\nExperience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus. \n\nBENEFITS & PERKS \nUnlimited PTO \nExcellent medical, dental, and vision coverage \nEmployee Equity and Stock Purchase Plan \nEmployee Discounts, Virtual Wellness Classes, andPet Insurance And more!! \nSALARY RANGE \nThe salary range for this role is $165,000 - $185,000, depending on location and experience. \nPEOPLE & CULTURE AT ZETA \nZeta considers applicants for employment without regard to and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. \nWe’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ \nZETA IN THE NEWS! \nhttps://zetaglobal.com/press/?cat=press-releases","description_format":"text","description_chars":4740,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Unlimited PTO"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-24T21:52:59Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":96,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-25T00:59:22Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":false},"html_url":"https://alion.io/job/zeta-global-senior-software-engineer-data-platform","json_url":"https://alion.io/job/zeta-global-senior-software-engineer-data-platform.json","meta":{"generated_at":"2026-09-25T00:59:22Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":918,"day_limit":5000,"remaining_today":4082,"minute_limit":60,"resets_at":"2026-09-26T00:00:00Z"}}}