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

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.

Manage software engineering programs from requirements through production delivery. Coordinate cross-functional dependencies across engineering, data science, data engineering, DevOps, product, and external stakeholders. Track schedules, milestones, risks, critical paths, resourcing, quality, and release commitments. Improve engineering processes, identify delivery gaps, facilitate resolution, and ensure successful end-to-end product execution in a fast-paced environment.

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Design user-centered solutions for complex healthcare intelligence products through research, ideation, wireframing, prototyping, documentation, and design-system development. Collaborate with product managers, engineers, and domain experts to support implementation, maintain consistency, and improve user experiences. The role requires strong UX/UI expertise, analytical problem-solving, communication, adaptability, and more than six years of experience.

Manage document workflows, process and quality-check incoming claims, assign statuses, route files, reconcile balances, validate charges, resolve discrepancies, and perform itemized bill data entry. Monitor file intake, output, and file-sharing accuracy; report system issues through service tickets; analyze document and claims trends; and communicate operational updates across teams. The role requires strong attention to detail, organization, analytical thinking, and proficiency with office and document-management tools.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

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.

Lead and transform the QA function for an AI-accelerated software organization. Define technical quality strategy, CI/CD gates, test-data approaches for PHI, and automation across unit, integration, and end-to-end testing. Build and grow a high-performing quality engineering team, set release standards and exit criteria, integrate AI/LLM evaluation with MLEs, and provide auditable metrics for leadership and regulators.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.