Top Healthtech Data & Analytics Jobs in Seattle, WA

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

Build, automate, monitor, and optimize batch and streaming data pipelines across cloud platforms and Snowflake. Responsibilities include troubleshooting failures, conducting root-cause analyses, orchestrating ETL/ELT workflows, managing connectors, implementing observability and data-quality controls, optimizing performance and costs, enforcing access controls, documenting procedures, and providing rotational on-call support. The role partners with product, analytics, platform, and architecture teams to deliver reliable enterprise data services.

Supports fundraising by managing prospect portfolios and pipelines, tracking moves management activity, conducting prospect research, and providing analysis and recommendations to philanthropy officers. Maintains accurate donor records and databases, develops reliable reporting, facilitates portfolio reviews, and identifies donor engagement opportunities using demographic, philanthropic, and engagement data.

Design, build, and optimize reliable data pipelines and Gold-layer data marts on Databricks Lakehouse in Azure. Develop batch and real-time streaming workflows, dimensional models, data contracts, automated quality tests, governance documentation, monitoring, and CI/CD processes. Collaborate with analytics and data science teams to resolve data issues, improve discoverability, and deliver trusted, high-performance data products.

Manage the Manufacturing Optimization Analytics team to develop data analytics tools and AI for business operations, enabling effective product development, manufacturing, and distribution decisions. Collaborate with stakeholders to address key business questions and enhance team productivity through standardized methodologies.

Curate, maintain, and analyze workforce data; build and automate Power BI dashboards; deliver ad-hoc reports and insights; ensure data integrity and cleanliness; partner with stakeholders and leadership to solve data gaps and coach stakeholders on using data to inform decisions.

Lead institute-wide data governance, metadata standards, and lifecycle management for large multimodal biological datasets. Own data stewardship, cataloging, and compliance (NIST/HIPAA), drive adoption of standards, advise scientific and technical leaders, and lead cross-functional initiatives to improve discoverability, reuse, and long-term data sustainability.

Lead complex BI projects to define KPIs, build internal and client-facing Tableau/Power BI dashboards, enforce documentation and metric consistency, perform data analysis and profiling, create BI strategy and roadmaps, mentor junior analysts, and present insights to cross-functional and executive stakeholders.

The role involves collaborating to develop and refine large language models and generative models, utilizing expertise in machine learning and NLP.

Lead a team of data scientists to enhance patient experiences through data insights, predictive modeling, and analytics for healthcare solutions.

Build and maintain scalable cloud-native data platforms and pipelines for analytics. Design system architecture, ingest high-volume bounded and unbounded data, optimize performance and cost, write tests and documentation, collaborate with product and EHR specialists, and adopt AI-assisted development tools to improve delivery and quality.