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Build and extend Databricks platform features across backend, full stack, infrastructure, databases, systems, cloud, and customer-facing products. Responsibilities include full software development lifecycle ownership, architecture improvements, testing, production operations, and developing reliable, scalable, and secure solutions. New graduates will participate in collaborative projects with mentorship and learning opportunities.

Build features for the Databricks platform as part of a collaborative engineering team. Interns manage projects from design through coding and feedback while learning to develop scalable, high-quality, secure infrastructure and products. Opportunities span full-stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing engineering teams. Participants receive dedicated mentorship and join a summer 2027 intern or co-op cohort.

Designs and presents scalable Databricks data architectures for customers throughout the sales lifecycle. Partners with account executives and technical stakeholders to develop account strategies, demonstrate reference architectures, validate integrations, and deliver production data solutions. Advises customers on big data engineering, data warehousing, data science, and machine learning projects. Promotes Databricks open-source technologies through customer engagements and developer communities. Requires up to 30% regional travel.

As a Senior Fullstack Software Engineer, you'll develop data-driven products, ensuring robust user experience and scalable infrastructure. Engage with multi-year visions while leveraging modern web and cloud technologies.

As a Fullstack Software Engineer, you will develop scalable data insights solutions, emphasizing user experience and leveraging modern technologies.

Develop and enhance Databricks' data and AI infrastructure by tackling challenges in log analytics, AI/BI, and distributed systems with innovative engineering solutions.

Manage and grow full stack engineering teams focused on data visualization and business semantics, overseeing recruitment and development of talent, implementing strategies, managing technical debt, and ensuring high-quality software delivery.

The Staff Software Engineer will drive product innovation in distributed data systems, working on log analytics, AI/BI, data governance, and app development.

The Senior Frontend Engineer will design and build scalable dashboards and data exploration tools, focusing on user experience, performance, and collaboration with cross-functional teams.

Lead technical strategy and pre-sales efforts for large enterprise accounts, helping customers adopt Databricks for data, machine learning, and AI transformation. Partner with account executives, build executive relationships, develop technical champions, guide evaluations and adoption, lead virtual teams, present strategic recommendations, mentor colleagues, and apply expertise in big data, cloud, data science, and production programming.