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Salary: USD 165,000 - 185,000 / annual
Prenuvo is transforming healthcare from reactive sick-care to proactive health care through award-winning whole-body MRI scans combined with AI and software. The company operates domestic and global clinics and is building an integrated stack of hardware, software, and increasingly AI-driven solutions.
You will design, build, and own production-grade data pipelines connecting marketing data, event tracking, and other sources into Databricks. Your work will create durable data models linking campaign and channel exposure to website behavior, leads, bookings, completed scans, revenue, and repeat activity. You'll partner cross-functionally with Marketing, Product, Engineering, Privacy, and Security teams on event taxonomy, identity resolution, consent-aware data flows, and source system contracts.
Key responsibilities include improving conversion and attribution data quality across online and sales-assisted journeys; implementing automated testing, freshness monitoring, alerting, lineage, and incident response for critical Growth data products; replacing fragile custom transformations with documented, reusable, reviewed code; contributing Growth measures and dimensions to a governed semantic layer; and reviewing technical work to improve team standards without becoming a bottleneck.
This is an individual contributor role focused on platform building and data infrastructure. You'll work with cutting-edge technology and high-performing teams in a mission-driven healthcare environment.
REQUIREMENTS:
- At least 4 years of experience in data engineering, analytics engineering, or closely related data role
- Advanced SQL and strong Python skills with experience building maintainable production data pipelines
- Hands-on experience with a cloud data platform and modern transformation framework (Databricks and dbt strongly preferred)
- Hands-on experience building and operating production data pipelines using ingestion and orchestration tools such as Fivetran or Apache Airflow, including monitoring, dependency management, schema changes, failure recovery, and data quality controls
- Experience integrating APIs, SaaS systems, event data, and operational databases into an analytical platform
- Strong knowledge of data modeling, orchestration, testing, observability, version control, code review, and continuous delivery practices
- Ability to translate ambiguous Growth questions into reliable data products while balancing speed, privacy, and long-term maintainability
- Clear communication skills and experience working across Marketing, Product, Engineering, Analytics, and business stakeholders
- Platform builder mindset with strong ownership, practical judgment, and attention to data quality
NICE TO HAVE:
- Experience with Salesforce, PostHog, Google Analytics, Google Tag Manager, Iterable, Workato, or reverse data movement tools
- Familiarity with conversion APIs, server-side signaling, UTM and click identifier flows, or media platform integrations
- Experience in healthcare, another regulated environment, or privacy-sensitive customer data
- Experience designing event taxonomies and behavioral data contracts
