Senior Healthcare Data Engineer: Audience & Activation

Socket.dev; 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

Discounts, Wellness Classes, and Pet保险

Job summary

Zeta Global in Nashville is seeking a Senior Data Engineer to build reliable, scalable healthcare data pipelines and data products for audience discovery, segmentation, activation, reporting.

You will implement the team's data architecture, collaborate with product and analytics teams, and apply privacy-by-design practices for PHI/PII, delivering production-ready systems. Design pipelines with Python/SQL/Airflow, Snowflake, EMR; mentor engineers and ensure data quality.

Qualifications

• 5-8 years of hands-on data engineering experience with healthcare data.
• Strong Python and SQL with transformations and query optimization.
• Experience with AWS data services, Snowflake, Airflow, EMR preferred.
• Data modeling, batch processing, testing, and production support practices.
• HIPAA/PHI handling and privacy-by-design controls.
• Experience with AdTech/MarTech data a plus.

Responsibilities

• Design, develop, test, deploy, and operate production-grade pipelines for healthcare data.
• Implement maintainable data models, transformations, and governed datasets.
• Deliver data products supporting audience discovery, segmentation, activation, and reporting.
• Build Airflow workflows with dependencies, retries, and data-quality checks.
• Collaborate with product, analytics, data science, and platform teams.
• Ensure data quality, monitoring, and incident response practices.
• Assist onboarding and integration of healthcare partners and internal sources.

Skills

Python

SQL

Airflow

Snowflake

AWS

HIPAA/PHI handling

Data modeling

Data quality

Tools

Docker

Kubernetes/EKS

CI/CD

Infrastructure as Code

Job description

Zeta Global in Nashville is seeking a Senior Data Engineer to build reliable, scalable healthcare data pipelines and data products for audience discovery, segmentation, activation, reporting.

You will implement the team's data architecture, collaborate with product and analytics teams, and apply privacy-by-design practices for PHI/PII, delivering production-ready systems. Design pipelines with Python/SQL/Airflow, Snowflake, EMR; mentor engineers and ensure data quality.