Zeta Global

Design and build backend services and APIs ensuring reliability and scalability while collaborating with teams. | 5+ years backend or data engineering experience with strong programming in Python, Java, or Scala and distributed systems expertise. | WHO WE ARE Zeta 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. The Opportunity: Where Impossible Becomes Possible The Identity team operates the critical backend services powering the Zeta Identity Graph. How do you engineer distributed architectures to manage a profile store running in several terabytes while maintaining single-digit millisecond latencies for billions of monthly events? We seek an innovative Senior Software Engineer to help navigate this exact scale, driving a multi-year roadmap to optimize our existing systems and architect our next-generation platform. You Will: Design and build backend services and APIs for identity resolution, graph transparency, and platform integrations. Optimize event-driven pipelines processing billions of signals. Deploy and operate cloud-native services on EKS/Kubernetes using Helm. Ensure absolute reliability, observability, and scalability across services and data pipelines. Collaborate with engineering, product, and data teams to deliver identity solutions and mentor junior engineers. You Have: 5+ years of experience in backend and/or data engineering at enterprise scale. Strong programming skills in Python, Java, or Scala, with expertise in API design and distributed systems. Experience with Kafka, streaming frameworks (Spark/Hive/Flink), and schedulers (Airflow/Luigi). Proficiency with Kubernetes (EKS) and AWS cloud deployment practices. Knowledge of SQL, complex data modeling, and high-throughput NoSQL/columnar databases (Aerospike, Snowflake, Scylla, etc.). Bonus Skills: Experience designing multi-tenant distributed systems or real-time streaming frameworks (Flink/Storm). Knowledge of open table formats (Iceberg, Hudi, Delta Lake) and security/privacy frameworks. BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $150,000 - $180,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta 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. We’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/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-TS1

Design, develop, and maintain production-grade data pipelines for healthcare and marketing datasets ensuring compliance with privacy regulations. | 5-8 years data engineering experience with healthcare datasets, expert Python and SQL skills, and knowledge of data modeling and privacy compliance. | WHO WE ARE Zeta 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. ROLE OVERVIEW Zeta Global is seeking a Senior Data Engineer to build reliable, scalable data pipelines and data products for a healthcare vertical. You will be a hands-on engineer who turns complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, activation, reporting, and measurement. Working closely with the engineering and product team, you will help implement the team's data architecture and engineering standards while owning significant parts of the delivery lifecycle. You will contribute to well-designed, production-ready systems—not define the overall architecture or technical roadmap alone. Key Responsibilities Design, develop, test, deploy, and operate production-grade pipelines for healthcare, identity, audience, media-exposure, and campaign-performance data using Python, SQL, Airflow, S3, Snowflake, and EMR. Implement maintainable data models, transformations, governed views, and reusable datasets for provider identity, claims/Rx, NPI/HCP, media, brand, and connector data. Deliver data products that support HCP and patient/DTC audience discovery, segmentation, activation, measurement, and reporting. Build Airflow workflows with clear dependencies, retries, alerting, data-quality checks, and operational runbooks; use EMR for large-scale enrichment, normalization, and other compute-intensive workloads. Write efficient SQL across Snowflake, Hive, and Athena, adapting to platform-specific syntax and query behavior. Partner with product, analytics, data science, and platform teams to translate business and healthcare requirements into resilient technical solutions. Implement data-quality controls, reconciliation checks, monitoring, alerting, and incident-response practices for critical data products. Support data onboarding and integration for healthcare partners and internal sources, including validation, normalization, and source-to-target mapping. Apply privacy-by-design practices for PHI/PII, including access controls, masking, approved joins, retention, and auditability. Collaborate with the Lead Data Engineer on technical designs, code reviews, documentation, and delivery plans; mentor less-experienced engineers as needed. Troubleshoot production issues and improve pipeline performance, reliability, and observability over time. Core Technical Environment Data storage & warehouse: Snowflake Native and Amazon S3. Orchestration: Apache Airflow for general pipeline setup and scheduling. Heavy processing: Amazon EMR for targeted, compute-intensive jobs. Programming: Python for Airflow pipelines and supporting data engineering services. Querying: SQL in Snowflake, Hive, and Athena. Qualifications 5–8 years of hands-on data engineering experience, including ownership of production pipelines and data models, with experience working with healthcare data such as provider/HCP, claims, prescription, patient/DTC, or healthcare audience datasets. Strong Python and expert SQL skills, with demonstrated experience building transformations, optimizing queries, and diagnosing data issues. Hands-on experience with AWS data services, especially S3, and a modern cloud data warehouse; experience with Snowflake, Airflow, and EMR is strongly preferred. Experience with data modeling, schema evolution, batch processing, orchestration, testing, CI/CD, and production support practices. Proven ability to work with large, complex datasets and deliver reliable, well-documented data products. Deep, practical knowledge of HIPAA, PHI/PII handling, privacy-by-design controls, and the operational requirements of regulated healthcare data environments. Experience with AdTech/MarTech, identity resolution, audience onboarding, segmentation, data linkage, media measurement, attribution, or campaign reporting. Ability to balance healthcare privacy constraints with the need for timely, accurate audience and performance insights. Strong collaboration and communication skills across engineering, product, analytics, and business stakeholders. Preferred Experience with healthcare data providers, identity ecosystems, tokenization, clean rooms, or privacy-enhancing technologies. Experience with data cataloging, lineage, observability, and data-quality frameworks. Experience with Docker, Kubernetes/EKS, infrastructure as code, and cloud deployment workflows. Experience supporting reporting, attribution, or measurement products tied to campaign or business outcomes. Exposure to ML/AI-enabled data products or analytics workflows. BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $140,000 - $160,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta 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. We’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/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-TS1