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

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 high 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 across 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 for the team.

Requirements

  • 8–10 years of software engineering experience with increasing technical ownership.
  • Proven experience building and scaling data-intensive or distributed systems.
  • Strong system design and architecture skills.
  • Experience working in regulated environments, with healthcare strongly preferred.
  • Experience with distributed systems such as microservices and event-driven architectures.
  • Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks.
  • Experience with streaming and batch processing tools such as Kafka, Spark, Flink, or similar.
  • Proficiency in backend development using Python, Java, or Ruby, and API design with REST or gRPC.
  • Experience building modern front-end applications with React or similar frameworks.
  • Strong experience with cloud platforms such as AWS, GCP, or Azure, plus infrastructure-as-code.
  • Familiarity with Docker, Kubernetes, and reliability patterns, including logging, metrics, and tracing.
  • Experience with HCP data, patient or DTC workflows, and healthcare data ecosystems such as claims, provider, or audience datasets.
  • Strong understanding of HIPAA, PHI/PII, and regulated data handling requirements.
  • Preferred: experience with healthcare data providers or identity ecosystems.
  • Preferred: background in AdTech, MarTech, or audience/data platforms.
  • Preferred: experience with privacy-enhancing technologies such as tokenization or clean rooms.
  • Preferred: exposure to ML/AI-driven data products or analytics systems.

Benefits

  • Unlimited PTO.
  • Excellent 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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