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Lead Software Engineer - Healthcare Data & Audience Applications

4 months, 3 weeks ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Spark AWS Azure Docker Flink GCP gRPC HIPAA Java Kafka Kubernetes Microservices Python React REST API Ruby
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Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007
View All Jobs 13

Description

  • Lead architecture and hands-on development of distributed systems for healthcare data workflows.
  • Design and implement scalable batch and streaming data pipelines for large-scale datasets.
  • Build and maintain APIs and services with strong SLAs, observability, and fault tolerance.
  • Implement identity resolution logic, including matching, deduplication, and graph-based linkage.
  • Ensure data quality through validation, reconciliation, and monitoring frameworks.
  • Design systems with strong security controls, including encryption, access control, and auditability.
  • Apply privacy-by-design principles to systems handling PHI and PII.
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures.
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence.
  • Mentor engineers and serve as a technical leader across the team.

Requirements

  • 8–10 years of software engineering experience with increasing technical ownership.
  • Proven track record of building and scaling data-intensive or distributed systems.
  • Experience working in regulated environments, with healthcare strongly preferred.
  • Strong system design and architecture skills.
  • Proficiency in backend development with Python, Java, or Ruby.
  • Experience designing APIs using REST or gRPC.
  • Experience with streaming and batch processing tools such as Kafka, Spark, or Flink, or similar technologies.
  • Experience with cloud platforms such as AWS, GCP, or Azure and infrastructure-as-code.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Experience with healthcare data workflows, including HCP data and patient or DTC data, is preferred.
  • Understanding of HIPAA, PHI/PII, and regulated data handling requirements.
  • Preferred experience with healthcare data providers, identity ecosystems, AdTech, MarTech, clean rooms, or ML/AI-driven data products.

Benefits

  • Unlimited PTO.
  • Medical, dental, and vision coverage.
  • Employee equity.
  • Employee discounts.
  • Virtual wellness classes.
  • Pet insurance.
  • Salary range of $200,000 to $215,000 depending on location and experience.

Interested in this position?

Apply directly on the company website

Apply Now

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