Senior Data Engineer: Remote Healthcare Data & Audience

Zeta Global; United States; Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Unlimited PTO

Excellent medical, dental, and vision

Employee Equity

Discounts and Pet Insurance

Job summary

Zeta Global is seeking a Senior Data Engineer for its Healthcare Data & Audience Applications. This remote role supports US clients, turning complex healthcare and marketing datasets into trusted data foundations for discovery, segmentation, activation, reporting and measurement.

You will build scalable pipelines, models, and data products, collaborating with product, analytics, and platform teams while applying privacy-by-design practices for PHI/PII.

Qualifications

• 5–8 years of hands-on data engineering experience, including production pipelines and data models, with healthcare data.
• Strong Python and SQL skills with experience building transformations and diagnosing data issues.
• Experience with AWS data services (S3) and a modern cloud data warehouse; Snowflake, Airflow, and EMR preferred.
• Knowledge of data modeling, schema evolution, batch processing, orchestration, testing, CI/CD, and production support.
• Ability to work with large, complex datasets and deliver reliable data products.
• Deep HIPAA, PHI/PII handling, privacy-by-design controls, and regulated healthcare data requirements.
• Experience with AdTech/MarTech, identity resolution, audience onboarding, segmentation, data linkage, or campaign reporting.

Responsibilities

• Design, develop, test, deploy, and operate production-grade healthcare data pipelines and data products.
• Implement data models, transformations, and reusable datasets for provider identity, claims, patient and audience data.
• Deliver data products supporting audience discovery, segmentation, activation, and reporting.
• Build Airflow workflows with dependencies, retries, data quality checks, and operational runbooks; use EMR for intensive workloads.
• Write SQL across Snowflake, Hive, and Athena; adapt to platform specifics.
• Collaborate with product, analytics, data science, and platform teams to translate requirements into robust solutions.
• Implement data-quality controls, monitoring, and incident-response practices for critical data assets.
• Onboard and integrate healthcare partner data, including validation and mapping.
• Apply privacy-by-design practices for PHI/PII access controls and auditing.
• Mentor junior engineers and contribute to designs, code reviews, and delivery plans.

Skills

Python

SQL

Airflow

Data modeling

HIPAA knowledge

Communication

Big data

Cloud data warehousing

Education

BS in Computer Science or related field

Tools

Snowflake

Amazon EMR

Amazon S3

Hive

Athena

Kubernetes

Job description

Zeta Global is seeking a Senior Data Engineer for its Healthcare Data & Audience Applications. This remote role supports US clients, turning complex healthcare and marketing datasets into trusted data foundations for discovery, segmentation, activation, reporting and measurement.

You will build scalable pipelines, models, and data products, collaborating with product, analytics, and platform teams while applying privacy-by-design practices for PHI/PII.