243 results for Data Engineer Jobs in Berkeley, CA, US

Software Engineer (Data Production Team)San Francisco, New York, Or Kansas CityReplica is a privacy-centric urban data platform that delivers critical insights about the built environment. With better data, human-context, and an intuitive design, Replica helps public and private sectors make informe...

Responsible for optimizing interaction with digital asset markets through scalable production machine learning services, implementing infrastructure for model deployment, and maintaining production-level code. Collaborates with scientists and engineers to design and implement tools for the machine l...

Avela is a Nobel Prize winning platform for families to navigate their child’s educational journey. Parents can find, apply, register, and pay for school and programs for their children, all from a common application system with saved profiles. Avela also powers backend admissions and operational wo...

About RetoolNearly every company in the world runs on custom software: Gartner estimates that up to 50% of all code is written for internal use. This is the operational software for refunding orders, underwriting loans, onboarding employees, analyzing transactions, and providing customer support. Bu...

About Us:At Parafin, we’re on a mission to grow small businesses.Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already se...

Role : Network Data EngineerLocation : SFO , CA (Remote) Primary skills: Routing and Switching, Cisco Juniper Secondary Skills: Aruba Wireless, F5 Load Balancer, Security Palo AltoRoles & Responsibilities: -Configure and support network and security products.Manage and maintain all Network devic...

Lead the design and development of core data storage, streaming, caching, and indexing platforms. Collaborate with cross-functional teams to define and deliver new features, and drive improvements to current programming practices.

Research and develop methodologies for synthetic and hybrid data generation, data quality and diversity analysis, and annotator behavior modeling. Collaborate with researchers and engineers to define best practices in data-driven AI development, and publish findings in top-tier AI conferences.

Responsible for organizing and activating data ecosystems, architecting business-critical datasets, ensuring data accessibility and reliability, and collaborating with engineering teams to improve data collection and measurement practices.

Responsible for owning systems and features of the data platform, making technical decisions, collaborating with product and engineering teams, building APIs and models for the Django backend, and creating systems that interact with a multi-tenant Snowflake data warehouse and third-party APIs.