Top Healthtech Data & Analytics Jobs

Lead technical design and delivery of enterprise data platform solutions using AWS S3 and Snowflake. Build scalable ETL/ELT and CDC pipelines, establish engineering standards, mentor data engineering teams, ensure data quality, governance, security, and operational readiness, and partner with stakeholders to deliver curated data products for analytics and AI.

Lead architecture and operations for the end-to-end data lifecycle: pipeline orchestration, dbt projects, cloud warehouse performance, dimensional modeling, data observability, HIPAA controls, and platform governance. Mentor a distributed data engineering team, partner with Analytics and Finance, and prioritize durable platform capabilities that enable BI, experimentation, and AI use cases.

General application to Cardamom's talent pipeline for roles across Epic analytics, data & analytics, project/product management, and internal functions. Candidates can submit for Epic analyst, data engineering, data science, interoperability, BI, software development, and entry-level roles (Madison local). Talent team reviews submissions and contacts matches for current or upcoming openings.

As a Senior Staff Data Engineer, you'll set the technical vision for data architecture, lead initiatives across teams, mentor engineers, and ensure platform reliability, while integrating data systems with ML pipelines effectively.

Lead a BI team to design, develop, and maintain enterprise dashboards, KPIs, and reports. Collaborate with stakeholders, ensure data governance and quality, integrate BI with cloud data warehouses and ETL pipelines, and support ERP migration to cloud. Drive BI strategy, documentation, training, and continuous improvement to enable data-driven decisions across the company.

Lead ownership of the global product taxonomy, catalog data model, and catalog governance. Define and enforce standards, train and up-level merchandising teams, interview SMEs, run design reviews, and translate ambiguous catalog issues into prioritized product and engineering requirements. Partner with R&D and clinical teams to enable new categories and advance AI-assisted catalog tooling and quality monitoring.

Design and implement scalable Snowflake-based data architectures on cloud (Azure/AWS). Build and optimize ETL using SnowSQL and Spark, tune performance, migrate data systems, document designs, collaborate with stakeholders, and mentor engineers while incorporating agentic AI into the data engineering SDLC.

Meet with business customers to gather and document traceable requirements, model processes (UML, use cases), plan JAD sessions, define data requirements and dictionaries, design dashboards and reports, identify integrations, develop and execute system test plans, support QA, and mentor junior analysts.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Senior member of the Data & Analytics team who translates operational reporting requirements into Epic- and Qlik-based analytics solutions. Develops RW SQL reports, Radar dashboards, and self-service artifacts; validates data, mentors junior analysts, enforces best practices, supports intake/prioritization, and coordinates training and legacy-to-new-tool migrations.