Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Designs, develops, and maintains scalable ETL/ELT pipelines and data platform capabilities for high-volume healthcare data. Responsibilities include complex SQL development, Airflow orchestration, dbt transformations, data quality frameworks, pipeline monitoring, troubleshooting, performance optimization, and documentation. The role collaborates with Data Operations, Product, Analytics, Data Science, and clinical teams to deliver reliable data for analytics, reporting, product features, and AI/ML initiatives.

Generate qualified sales pipeline through outbound prospecting, inbound lead follow-up, account and contact research, personalized outreach, initial discovery, opportunity qualification, and meeting scheduling for Account Executives. Maintain accurate CRM records, collaborate with Sales and Marketing on campaigns, meet activity and pipeline goals, and participate in coaching to improve sales skills and healthcare technology knowledge.

Supports the company’s DevOps strategy by designing scalable AWS infrastructure, managing CI/CD processes, integrating engineering workflows, and maintaining GitHub practices. Monitors and troubleshoots production systems, participates in on-call incident response, supports security and compliance, and mentors junior DevOps engineers. The role uses Nomad, Consul, Vault, Terraform, GitHub Actions, Linux, shell scripting, and Python.

Provides advanced technical support for healthcare technology clients, diagnosing complex issues, performing root-cause analysis, monitoring systems, managing escalations, creating documentation, developing scripts and workflows, supporting on-call operations, collaborating cross-functionally, and mentoring junior engineers.

Design, develop, and maintain scalable ETL/ELT data integration pipelines supporting analytics, reporting, and product capabilities. Build ingestion, transformation, validation, and curated data layers; optimize production workflows; document systems; and implement data quality monitoring and testing. Collaborate with implementation, engineering, analytics, and customer success teams to resolve data issues, support onboarding, and ensure reliable, accessible data.

Designs, develops, and optimizes SQL Server databases and T-SQL code in collaboration with Java development teams. Responsibilities include query tuning, relational database design, backend process development, reporting, legacy code modernization, documentation, and storage architecture. The role may also involve database administration, ETL, monitoring, advanced SQL Server functionality, agile workflows, and establishing database development best practices.

Partners with sales teams throughout enterprise sales cycles, conducting discovery, delivering tailored product demonstrations, addressing technical and operational questions, and supporting RFPs. The role translates buyer needs into SaaS solutions, coordinates cross-functional stakeholders, manages demo environments and proposal milestones, contributes to competitive positioning and enablement materials, and supports implementation handoffs.