Lead Software Engineer - Healthcare Data & Audience Applications
New
Z
Zeta GlobalHealthcare
Remote - United StatesFull-TimeLead
Salary200,000 - 215,000 USD per year
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Job Details
- Experience
- 8–10 years
- Required Skills
- AWSDockerPythonGCPJavaKafkaKubernetesRubyAzuregRPCReactSparkRESTful APIsMicroservicesData modelingHIPAADistributed Systems
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 (healthcare strongly preferred)
- Strong system design and architecture skills
- Ability to lead technically while remaining hands-on in implementation
- Strong collaboration skills across engineering, product, and data teams
- Strong experience designing distributed systems (microservices, event-driven architectures)
- Deep understanding of data modeling, storage systems (OLTP, OLAP), and data processing frameworks
- Experience with streaming and batch processing (Kafka, Spark, Flink, or similar)
- Proficiency in backend development (Python, Java, or Ruby) and API design (REST/gRPC)
- Experience building modern front-end applications (React or similar)
- Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
- Familiarity with containerization and orchestration (Docker, Kubernetes)
- Experience implementing observability (logging, metrics, tracing) and reliability patterns
- Strong understanding of performance optimization and scalability tradeoffs
- Experience working with HCP data (provider identity, targeting, segmentation)
- Experience with patient / DTC data workflows and privacy-aware systems
- Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
- Familiarity with identity graphs and data onboarding patterns
- Experience building reporting or attribution systems tied to business outcomes
- Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements
Responsibilities
- Lead architecture and hands-on development of distributed systems supporting healthcare data workflows
- Design and implement scalable data pipelines (batch and streaming) 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 all systems handling PHI/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 act as a technical leader across the team
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