Lead Data Engineer - Healthcare Data & Audience Applications at Zeta Global | AdTechTalent
Engineering4 months agoRemote
Zeta Global
Lead Data Engineer - Healthcare Data & Audience Applications
data engineeringhealthcareHIPAAPHIPIIdistributed systemsmicroservicesevent-driven architecturestreamingbatch processingKafkaSparkFlinkPythonJavaRubyRESTgRPCApache AirflowSnowflakeAthenaMySQLDatabricksAWSGCPAzureDockerKubernetesidentity resolutiondata pipelines
Key details
Salary
$180K – $200K
Employment type
Full-time
Seniority
Lead
Years experience
5-10
Location
Remote, United States
Full job description
Zeta Global seeks a Lead Data Engineer to build and scale healthcare-focused data systems supporting audience intelligence, activation, measurement, and reporting for HCP and DTC workflows. Responsibilities include designing healthcare data architecture, leading ingestion and transformation across Snowflake, Athena/S3, MySQL, and healthcare stores, partnering on data certification and SLAs, designing governed views with access controls, setting operational readiness criteria, leading code reviews and mentoring, supporting compliance and audits, applying privacy-by-design for PHI/PII systems, and collaborating with Product and Data teams to implement scalable architectures. Required skills include 8+ years in data engineering, expert SQL, strong Python and Java, experience with batch and streaming data, system design, and regulated environments (healthcare preferred). Technical expertise in distributed systems, microservices, Kafka, Spark, Flink, REST/gRPC APIs, Apache Airflow, Snowflake, Databricks, cloud platforms (AWS/GCP/Azure), Docker, Kubernetes, and observability practices is essential. Benefits include unlimited PTO, medical/dental/vision coverage, employee equity, discounts, wellness classes, and pet insurance. Salary range is $180,000 - $200,000.
What you'll do
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Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan
Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities
Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs
Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning
Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release
Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod
Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT
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
Requirements
8+ years of data engineering experience with increasing technical ownership
Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution
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
