Senior Data Engineer – Healthcare Data & Audience Apps

Zeta-Global; Nashville (TN); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Excellent medical, dental, and vision

Employee Equity

Employee Discounts

Virtual Wellness Classes

Pet Insurance

Job summary

Zeta Global is seeking a Senior Data Engineer to build scalable healthcare data pipelines and products for audience discovery and measurement. You will join a hands-on team that implements data architectures, ensures data quality, and collaborates across product and analytics to deliver trusted solutions.

As part of the healthcare vertical, you will work with Snowflake, AWS, Airflow, and EMR to transform provider, claims, and audience data into actionable insights while following HIPAA and

Qualifications

• 5–8 years of hands-on data engineering experience with healthcare data.
• Strong Python and SQL skills with data transformations, query optimization, and issue diagnosis.
• Experience with AWS data services, Snowflake, Airflow, and EMR is strongly preferred.
• Deep knowledge of HIPAA, PHI handling, privacy‑by‑design controls, and regulated healthcare environments.
• Experience with AdTech/MarTech datasets, identity resolution, audience onboarding, and measurement.

Responsibilities

• Design, develop, test, deploy, and operate production-grade pipelines for healthcare and audience data.
• Implement data models, transformations, and governed views for provider data and patient/DTC datasets.
• Deliver data products supporting audience discovery, segmentation, activation, and reporting.
• Build Airflow workflows with dependencies, retries, and data-quality checks; use EMR for large-scale workloads.
• Write efficient SQL across Snowflake, Hive, and Athena and adapt to platform variations.
• Collaborate with product, analytics, and platform teams to translate requirements into robust solutions.
• Implement data-quality controls, monitoring, and incident response for critical data products.
• Support data onboarding and integration for healthcare partners and internal sources.

Skills

Python

SQL

Airflow

Snowflake

AWS

EMR

Data modeling

PHI handling

Collaboration

Tools

Airflow

Snowflake

AWS

EMR

Hive

Athena

S3

Kubernetes

Job description

Zeta Global is seeking a Senior Data Engineer to build scalable healthcare data pipelines and products for audience discovery and measurement. You will join a hands-on team that implements data architectures, ensures data quality, and collaborates across product and analytics to deliver trusted solutions.

As part of the healthcare vertical, you will work with Snowflake, AWS, Airflow, and EMR to transform provider, claims, and audience data into actionable insights while following HIPAA and