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

Designs and operates scalable data infrastructure for high-volume batch and real-time workloads. Builds partner data-sharing platforms and identity graph foundations while improving data quality, lineage, observability, reliability, governance, privacy, and access control. Develops reusable tooling and frameworks for internal and external data consumers, supports secure and auditable data exchange, and partners cross-functionally on platform architecture, incident response, monitoring, and capacity planning.

As a Staff Data Engineer, you'll architect a scalable data platform, optimize data pipelines, establish data standards, and mentor teams to drive technical excellence.

Lead and grow a Data Engineering team to build a scalable analytics platform. Set technical direction for dbt and Snowflake, raise analytics engineering standards, enable domain experts to contribute high-quality models, introduce AI-assisted workflows, and partner cross-functionally to ensure reliable, understandable enterprise data.

The Staff Software Engineer will lead backend system development, provide mentorship, establish coding standards, and drive performance optimization while collaborating across teams to align technical strategies with business goals.

Lead Imprint's risk product strategy across onboarding, underwriting, loan assignment, and collections. Define credit decisioning architecture, prioritize risk product roadmap, partner with data science and engineering, enable partner-specific launches, and build measurement, experimentation, and feedback loops. Drive cross-functional alignment, translate risk signals into product features, and self-serve on data analysis to optimize portfolio economics and customer experience.

Lead analytical projects end-to-end to inform product, marketing, and commercial strategy. Build segmentation and predictive models (churn, LTV, propensity), design and analyze experiments, apply causal inference, and build AI/agentic workflows to operationalize decisions. Communicate findings to leadership and partners, collaborate cross-functionally, and contribute to team practices through code reviews and knowledge sharing.

Design, build, and own backend financial systems end-to-end including transaction authorization, ledger accounting, credit decisioning, rewards engines, and payments. Develop APIs, ensure data consistency across distributed systems, optimize relational schemas and queries, operate cloud deployments and CI/CD, participate in on-call rotations and incident response, and contribute to shared platform services and developer tooling.

Lead strategy and execution of new customer acquisition channels, balancing growth with credit risk. Define targeting and underwriting parameters, build ROI and contribution-profit models, analyze channel performance using SQL and partner with credit policy, data science, finance, marketing, and brand partners to optimize acquisition quality and portfolio outcomes.

Design, build, and maintain scalable data models, semantic layers, and dashboards. Partner with stakeholders to translate business needs into reliable BI products, enforce data quality and governance, build dbt models, optimize performance, and integrate AI-assisted tooling to accelerate analytics workflows.

Leads strategy, operations, and outcomes for escalations, back office operations, credit reporting, and social media support. Builds scalable processes, metrics, tooling, analytics, and outsourced team models; implements AI-enabled solutions; partners with Risk, Compliance, Legal, Tech, Product, and Engineering; and drives root-cause improvements and regulatory adherence.