Senior Data Engineer Healthcare Data & Audience Applications

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 industrys 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 .

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 teams data architecture and engineering standards while owning significant parts of the delivery lifecycle. You will contribute to well-designed production-ready systemsnot 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

• 58 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 $140000 - $160000 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 individuals 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.

Were 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: IN THE NEWS!

Experience:

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