Top Tech Jobs & Startup Jobs in Seattle, WA

Design and implement end-to-end data solutions on Microsoft Fabric and Azure for insurance datasets. Build ingestion pipelines (batch, streaming, API), Lakehouse architectures, and data models. Enforce governance, security, compliance, and cost/performance optimizations while guiding engineers and stakeholders on architectural best practices.

Lead end-to-end strategic sourcing and procurement programs, manage client relationships, oversee a team of sourcing professionals, run RFx processes, supplier selection, negotiations, and contracting, monitor KPIs/SLAs, and drive continuous improvement across global engagements.

Own and monitor a consumer lending portfolio; develop and implement underwriting, limit, pre-screen, and risk-tier strategies. Perform hands-on analysis with SQL and Python, run A/B and champion/challenger tests, use internal and third-party data, ensure fair lending governance, and collaborate across stakeholders to translate analysis into business recommendations.

Design and implement end-to-end Microsoft Fabric data solutions (ingestion, Lakehouse, warehouse, real-time). Create architectures, reusable frameworks, and governance patterns for insurance datasets. Lead ingestion pipelines, optimize performance/cost, integrate with Azure services and security, support regulatory compliance, and provide technical direction to engineering and analytics teams.

Schedule insurance appraisal appointments, contact policyholders through phone, SMS, and email, explain appraisal requirements, and build trust. Support homeowners with the ASSIST photo-capture app, answer technical questions, update work order statuses, prioritize assignments, meet productivity and turnaround goals, and communicate unusual situations to management.

Contact insurance policyholders by phone, SMS, and email to schedule appraisal appointments, explain requirements, and address concerns. Assist homeowners with the ASSIST photo-capture app, including installation and technical questions. Maintain accurate work order statuses, prioritize assignments, meet productivity and turnaround goals, and communicate unusual situations to management. Provide responsive customer service to policyholders, agents, underwriters, and managers while handling multiple time-sensitive tasks.

Support an insurance actuarial department by cataloging and classifying data, maintaining master data mappings and schemas, auditing data quality, enforcing governance policies, and ensuring regulatory compliance. Collaborate with technical and business stakeholders, conduct Alation and Excel training, and lead data governance projects aligned with organizational objectives.

Lead and mentor an account management team, develop and execute client retention and growth strategies, build strong client relationships, identify new business, collaborate cross-functionally to deliver insurance solutions, ensure SLAs and compliance, monitor market trends, and drive performance through reviews and coaching.

Support building and maintaining ETL/ELT data pipelines and cloud data workflows. Work with senior engineers and cross-functional teams to implement, test, deploy, and document data processes. Continuously learn cloud technologies, SQL, and Python/PySpark, follow coding best practices, and contribute to process improvements in an Agile environment.

Design, build, and maintain scalable data pipelines and ETL/ELT frameworks using Python and PySpark. Develop reusable components, microservices, and cloud-based data solutions on AWS and Snowflake. Ensure code quality via reviews, CI/CD, logging, and best practices while collaborating with stakeholders to solve data problems.