Senior Healthcare Data Engineer: Audience & Activation

Zeta Global

Nashville (TN)

Vor Ort

USD 140.000 - 160.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Unlimited PTO
Medical, dental, and vision coverage
Employee Equity
Wellness & Pet Insurance

Zusammenfassung

Zeta Global in Nashville is hiring a Senior Data Engineer to build reliable, scalable data pipelines and data products for a healthcare vertical. You will turn complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, activation, reporting, and measurement.

You will work with engineering and product teams to implement data architecture standards, contribute to production systems, and mentor peers while delivering resilient solutions.

Qualifikationen

  • 5–8 years of hands-on data engineering with production pipelines and data models.
  • Strong Python and SQL skills; experience optimizing queries and diagnosing data issues.
  • Experience with AWS data services (S3), Snowflake, Airflow, and EMR preferred.

Aufgaben

  • Design, develop, test, deploy, and operate production-grade data pipelines.
  • Build data models, transformations, and governed datasets for healthcare data.
  • Create Airflow workflows with data quality checks and robust monitoring.
  • Collaborate with product, analytics, and platform teams to deliver solutions.
  • Ensure privacy-by-design controls for PHI/PII in data workflows.
  • Troubleshoot production issues and optimize pipeline performance over time.

Kenntnisse

Python
SQL
Data modeling
Collaboration

Tools

Snowflake
Airflow
EMR
AWS
CI/CD

Jobbeschreibung

Zeta Global in Nashville is hiring a Senior Data Engineer to build reliable, scalable data pipelines and data products for a healthcare vertical. You will turn complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, activation, reporting, and measurement.

You will work with engineering and product teams to implement data architecture standards, contribute to production systems, and mentor peers while delivering resilient solutions.

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