Senior Data Engineer: Healthcare Data & Audience Platforms

Zeta Global; Atlanta (GA); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Medical/Dental/Vision coverage

Employee Equity

Discounts

Virtual Wellness Classes

Pet Insurance

Job summary

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

Qualifications

• 5–8 years of hands-on data engineering experience, including ownership of production pipelines and data models, with healthcare data.

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.

Skills

Python

SQL

HIPAA/PHI privacy

Data modeling

Data pipelines

Cloud (AWS)

Tools

Snowflake

Airflow

EMR

Hive

Athena

S3

Python

Kubernetes

Docker

Job description

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