Senior Data Engineer – Healthcare Data, Audience Applications
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Job Description
Senior Data Engineer building healthcare data pipelines and audience products for Zeta Global’s AI-powered marketing cloud. Supporting segmentation, activation, measurement, reporting, privacy, and production reliability.
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 supporting HCP and patient/DTC audience discovery, segmentation, activation, measurement, and reporting.
- Build Airflow workflows with dependencies, retries, alerting, data-quality checks, and operational runbooks; use EMR for large-scale enrichment and compute-intensive workloads.
- Write efficient SQL across Snowflake, Hive, and Athena.
- 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.
- Support healthcare data onboarding and integration, 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.
Requirements:
- 5–8 years of hands-on data engineering experience, including ownership of production pipelines and data models, with healthcare data experience.
- Strong Python and expert SQL skills, including transformations, query optimization, and data issue diagnosis.
- Hands-on experience with AWS data services, especially S3, and a modern cloud data warehouse.
- Experience with data modeling, schema evolution, batch processing, orchestration, testing, CI/CD, and production support.
- 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 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 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, privacy-enhancing technologies, data cataloging, lineage, observability, data-quality frameworks, Docker, Kubernetes/EKS, infrastructure as code, cloud deployment workflows, reporting/attribution/measurement products, or ML/AI-enabled data products.
Benefits:
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts
- Virtual Wellness Classes
- Pet Insurance
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