"database engineering" Jobs
459 open tech roles matching “database engineering”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, PostgreSQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 459 results
Join PlanetScale as a Software Engineer to build Neki, a sharded PostgreSQL product, and tackle complex distributed systems challenges.
Design and build scalable backend systems for an AI-native operations platform in a collaborative San Francisco team.
Join Fundamental as a Forward Deployed Full-Stack Engineer to build integration layers for enterprise AI solutions.
Drive Lakebase adoption in Financial Services as a director at Databricks, a leader in data and AI.
Join Lightfield as a Staff Software Engineer to build scalable data infrastructure for a fast-growing AI-native CRM platform.
Join Exa as a Data Engineer to build massive-scale data infrastructure for a revolutionary AI-powered search engine.
Join Databricks as a Lakebase Sales Specialist to drive adoption of our fully-managed Postgres offering for intelligent applications.
Own and evolve the data lake and analytics stack for fleet monitoring at CoreWeave, leveraging modern data technologies.
Serve as a trusted technical advisor to customers, designing and implementing real-time data solutions using SingleStore.
Join Cogent Security as a Staff Software Engineer to build foundational data platforms for enterprise AI-driven cybersecurity solutions.
Join Judgment Labs as a Senior Backend Engineer to build infrastructure for AI agents in a fast-paced, onsite environment in San Francisco.
Lead the SmithDB team at LangChain, focusing on hands-on engineering and team management in a fast-paced environment.
Join Databricks as a Lakebase Sales Specialist to drive adoption of our fully-managed Postgres offering for intelligent applications.
Join Braintrust as a Software Engineer to build high-performance data processing systems for enterprise-scale unstructured data.
Serve as a trusted technical expert in AI/ML, designing and deploying production-level architectures for Databricks customers.
Lead the strategy and execution for observability and governance at Databricks, impacting performance and reliability for customers.