Lead Data Engineer, Zeta Global
Healthcare Data & Audience Applications
$180-200k
Offers equity
The AI marketing cloud
Open for applications
The AI marketing cloud
1001+ employees
Open for applications
$180-200k
Offers equity
1001+ employees
Company mission
To enable brands to build repeatable and scalable programs that accelerate business growth, efficiently, and effectively, and drive higher ROI on their marketing investments.
Role
Who you are
- Strong experience designing distributed systems, including microservices and event-driven architectures
- Deep understanding of data modeling, storage systems (OLTP and OLAP), and data-processing frameworks
- Experience with streaming and batch processing technologies, such as Kafka, Spark, Flink, or similar tools
- Proficiency in backend development using Python, Java, or Ruby, as well as API design using REST or gRPC
- Experience with workflow orchestration tools, such as Apache Airflow
- Experience working with data warehouses and lakehouse platforms, such as Snowflake, Databricks, or similar technologies
- Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code
- Familiarity with containerization and orchestration technologies, including Docker and Kubernetes
- Experience implementing observability practices, including logging, metrics, and tracing, as well as reliability patterns
- Strong understanding of performance optimization and scalability trade-offs
- 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
- Technical standards for lineage, data quality, access control, masking, retention, auditability, observability, and cost
- 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
Desirable
- Experience with healthcare data providers or identity ecosystems
- Background in AdTech, MarTech, or audience/data platforms
- Experience with privacy-enhancing technologies (tokenization, clean rooms)
- Exposure to ML/AI-driven data products or analytics systems
What the job involves
- Zeta Global is seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows
- This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints
- You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability
- The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments
- Applications supporting HCP and patient / direct-to-consumer (DTC) audience discovery, segmentation, and activation
- Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
- Identity resolution and data linkage services across fragmented data sources
- Reporting, attribution, and measurement systems connecting campaigns to outcomes
- APIs and services enabling downstream activation, analytics, and partner integrations
- Healthcare Cloud and data-mapping architecture across claims/Rx, NPI/HCP, patient, media-exposure, brand, and connector datasets
- Healthcare-specific semantic cubes, governed views, data contracts, and domain APIs consumed by Vertical Apps; front-end applications should consume stable domain APIs rather than query raw stores or Cube directly
- Identity resolution, match-rate measurement, medical-code mapping, and approved joins under CERT/HIPAA rules
- Foundational data products for NPI onboarding, PLD reporting, script reporting, HCP/Patient intelligence, journeys, and Next Best Action
- 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
Our take
Zeta Global is a cloud-based AI marketing platform helping companies acquire, grow and retain customers more efficiently. Its flagship Zeta Marketing Platform (ZMP) combines identity resolution, consumer intelligence, and omnichannel activation into a single platform. Using one of the industry's largest proprietary database and advanced AI, Zeta makes personalized marketing simple for enterprise brands worldwide.
Its platform is particularly valuable in today's privacy-first, data-driven marketing environment. It helps brands understand individual customers and deliver relevant experience across every channel, from email and SMS ot digital and social. Serving top advertisers and Fortune 500 companies, Zeta turns complex data into actionable insights, so markets have a deeper relationship with their customers and drive measurable results in a competitive landscape.
Recently, Zeta expanded its capabilities with acquisition of Marigold's enterprise software business, adding over 100 enterprise clients and new loyalty and engagement tools. This strenghten's Zeta's "One Zeta" model, creates cross-selling opportunities, and extends its footpirnt in EMEA and APAC. Also backed by strong AI investments, a massive proprietary identity graph, and consistent revenue growth, Zeta is in a good position to help brands deliver smarter, more personalized marketing at scale for years to come.
Steph
Company Specialist at Welcome to the Jungle
Insights
11% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Apr 2017
$115m
SERIES F
Jul 2015
$125m
LATE VC
Total funding: $310m
Company HQ
Midtown South, New York, NY
Leadership
David A Steinberg
(Co-Founder, CEO & Chairman of the Board)Prior to founding Zeta and CAIVIS, they founded InPhonic, the largest seller of wireless phones and communications products and services on the Internet. InPhonic was #1 on Inc. 500 list of fastest growing companies in 2004
John Sculley
(Co-Founder, Vice Chairman of ther Board & Investor)Former CEO of Apple Computer. They joined Apple in 1983 when the Company had $600 million in revenues; by the time they left, Apple's revenues exceeded $8 billion.
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