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

Optimize and administer SQL Server databases supporting multi-terabyte healthcare claims data. Responsibilities include tuning T-SQL, execution plans, indexing, partitioning, statistics, tempdb, memory, backups, high availability, and database monitoring. The role develops stored procedures and data structures, identifies claims overpayments, automates data mining processes, investigates root causes, and mentors analysts. Collaboration with infrastructure and business teams is required, along with ownership of small projects and performance improvements.

Own production agentic AI systems that audit medical claims. Translate ambiguous business problems into measurable technical initiatives, define evaluation metrics, architect agent systems, build reliable Python software, and manage accuracy, latency, cost, and citation grounding. Lead technical direction, review designs, mentor engineers, collaborate with clinical and business stakeholders, and present defensible results. The role requires hands-on experience with agent SDKs, evaluation harnesses, long-context systems, and AI development tools.

Design, build, and operate end-to-end data pipelines and models for healthcare claims and payer data. Responsibilities include ingestion, canonical and analytical data modeling, legacy process migration, data quality, testing, CI/CD, deployment, operations, incident response, tool integration, documentation, and onboarding new data sources. The role partners across ML, product, analytics, platform, operations, and customer teams while critically evaluating AI-generated engineering work.

Own end-to-end client data migrations: reverse-engineer legacy ETL, design and build Airflow DAGs and Spark jobs, validate and reconcile data at scale, document architecture and decisions, and coordinate cross-functional teams through go-live and hypercare.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Senior or Staff Frontend Engineer responsible for developing scalable, high-performance web applications, shaping frontend architecture, mentoring engineers, and leading cross-functional feature delivery. The role requires modern JavaScript and TypeScript expertise, strong UI system design, API integration, debugging, and technical documentation skills. The engineer will also promote AI-assisted and agentic development practices, collaborate with product and backend teams, and build intuitive healthcare payment interfaces.

Leads end-to-end implementation of healthcare technology, analytics, and payment integrity solutions. Manages project plans, integrations, data readiness, configuration, testing, go-live, risks, documentation, training, and client communications. Coordinates cross-functional teams and healthcare data workflows while ensuring quality, security, regulatory compliance, and client satisfaction. Supports process improvement, issue resolution, and knowledge transfer across implementation teams.

Design, build, and operate production data pipelines using Python, Spark SQL, and Airflow. Canonicalize healthcare and customer data into trusted internal models, optimize distributed processing, enforce schemas, and implement quality checks and observability. Support customer onboarding, streaming pipelines, troubleshooting, on-call operations, and platform best practices while collaborating with product, analytics, engineering, data science, and customer teams.

Own the analytics data layer by translating stakeholder needs into certified dimensional models, governed metrics, semantic layers, dashboards, and reports. Build with dbt, SQL, Databricks, Power BI, and Airflow while ensuring data quality, observability, reconciliation, documentation, and dependable orchestration. Partner closely with finance, operations, and client-facing teams, automate recurring workflows, and use AI-assisted engineering practices in a fully remote environment.

Manages strategic health plan payer accounts, client satisfaction, service delivery, project lifecycles, financial results, and account growth. Leads cross-functional initiatives, resolves escalated issues, monitors account health and analytics, identifies efficiency improvements, partners with sales on expansion opportunities, and supervises, coaches, and develops Client Success Managers and Delivery Specialists.