Zeta Global

You would build and optimize backend identity services, APIs, and event-driven data pipelines with attention to reliability and scalability. | The role requires 5+ years in enterprise backend or data engineering, strong programming skills, Kubernetes-based cloud deployment, and experience with high-throughput databases. | 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

Lead the architecture and delivery of privacy-conscious healthcare data systems, pipelines, identity services, APIs, reporting, and operational practices. | Requires 8+ years of data engineering, strong SQL and Python or Java, data-processing and orchestration experience, cloud and warehouse expertise, and healthcare privacy and domain knowledge. | 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 Lead Data Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows. This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability. The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments. What You'll Build • Applications supporting HCP and patient / direct-to-consumer (DTC) audience discovery, segmentation, and activation • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets • Identity resolution and data linkage services across fragmented data sources • Reporting, attribution, and measurement systems connecting campaigns to outcomes • APIs and services enabling downstream activation, analytics, and partner integrations • Healthcare Cloud and data-mapping architecture across claims/Rx, NPI/HCP, patient, media-exposure, brand, and connector datasets. • Healthcare-specific semantic cubes, governed views, data contracts, and domain APIs consumed by Vertical Apps; front-end applications should consume stable domain APIs rather than query raw stores or Cube directly. • Identity resolution, match-rate measurement, medical-code mapping, and approved joins under CERT/HIPAA rules. • Foundational data products for NPI onboarding, PLD reporting, script reporting, HCP/Patient intelligence, journeys, and Next Best Action. Key Responsibilities • Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan. • Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities. • Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs. • Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning. • Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release. • Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod. • Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT. • Apply privacy-by-design principles across all systems handling PHI/PII • Partner with Product and Data teams to translate healthcare requirements into scalable architectures • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence Engineering Expectations • Strong experience designing distributed systems, including microservices and event-driven architectures • Deep understanding of data modeling, storage systems (OLTP and OLAP), and data-processing frameworks • Experience with streaming and batch processing technologies, such as Kafka, Spark, Flink, or similar tools • Proficiency in backend development using Python, Java, or Ruby, as well as API design using REST or gRPC • Experience with workflow orchestration tools, such as Apache Airflow • Experience working with data warehouses and lakehouse platforms, such as Snowflake, Databricks, or similar technologies • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes • Experience implementing observability practices, including logging, metrics, and tracing, as well as reliability patterns • Strong understanding of performance optimization and scalability trade-offs Healthcare & Domain Expectations • Experience working with HCP data (provider identity, targeting, segmentation) • Experience with patient / DTC data workflows and privacy-aware systems • Understanding of healthcare data ecosystems (claims, provider, or audience datasets) • Familiarity with identity graphs and data onboarding patterns • Experience building reporting or attribution systems tied to business outcomes • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements • Technical standards for lineage, data quality, access control, masking, retention, auditability, observability, and cost. Qualifications • 8+ years of data engineering experience with increasing technical ownership • Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution. • Proven track record of building and scaling data-intensive or distributed systems • Experience working in regulated environments (healthcare strongly preferred) • Strong system design and architecture skills • Ability to lead technically while remaining hands-on in implementation • Strong collaboration skills across engineering, product, and data teams Preferred • Experience with healthcare data providers or identity ecosystems • Background in AdTech, MarTech, or audience/data platforms • Experience with privacy-enhancing technologies (tokenization, clean rooms) • Exposure to ML/AI-driven data products or analytics systems 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 $180,000 - $200,000, 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

Build and operate data infrastructure and distributed data-processing systems while improving platform reliability and mentoring team members. | 7+ years experience with Python, Scala, or Java and production data platform and Spark experience. | 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 ROLE As a Senior Data Platform Engineer, you will build and operate the data infrastructure that supports Zeta’s products, analytics, machine learning, and AI systems. This 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. The 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. This is a hybrid role based out of either our San Mateo, CA or San Francisco, CA office. RESPONSIBILITIES Build and operate Lakehouse, Spark, and distributed data-processing systems. Improve the performance, reliability, cost, and operational visibility of platform workloads. Develop capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control. Build the data context required for trusted reporting, ML models, and AI agents. Evaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit. Assess real-time OLAP technologies and identify appropriate production use cases. Improve deployment, observability, incident response, developer tooling, and platform operations. Partner with data scientists and data engineers to improve their experience using the platform. Contribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow. Mentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions. QUALIFICATIONS 7+ years of software engineering experience. Strong experience in Python, Scala, Java, or another JVM language. Experience with Spark or another distributed data-processing framework. Experience building or operating production data platforms, backend systems, or distributed systems. Familiarity with at least 1 of these areas: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP. Working knowledge of AWS services such as EC2, S3, Athena, and IAM. Experience improving production reliability through monitoring, alerting, deployment automation, and incident response. Strong analytical, communication, and collaboration skills. Experience with Kubernetes, Terraform, Airflow, Trino, ClickHouse, Starrocks, or Pinot is a plus. BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity and Stock Purchase Plan Employee Discounts, Virtual Wellness Classes, andPet Insurance And more!! SALARY RANGE The salary range for this role is $165,000 - $185,000, 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-YW1

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