Jobs

Exasol’s Analytics Engine accelerates insights from the world’s data. It is purpose-built to handle the most demanding data workloads at an unmatched price/performance ratio. Our in-memory, massively parallel processing (MPP) technology is specifically designed for analytics, enabling businesses to turn data into actionable insights. We are seeking a C++ Storage Engineer that will be at the forefront of innovation, working hands-on with our cutting-edge parallel storage solution. You will design and implement advanced algorithms, collaborate with cross-functional teams to integrate storage functionality, and stay abreast of the latest industry developments. Your expertise in C++, parallel storage technologies, and cloud platforms will be crucial in advancing our storage solutions to new heights.

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. We’re looking for dedicated students who share our passion for ground-breaking technology and want to create a lasting future for you and Snowflake.

We’re hiring talented Software Engineers to join the Snowflake Query Processing team! This position is part of our engineering team to evolve our elastic, large scale, high-performance query processing engine. We need smart engineers who can pick up and understand complex technical areas quickly – and who are enthusiastic about building new technologies! The official language for this office will be English.

As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend, full stack, infrastructure, databases, systems, tools, cloud, and customer-facing products. You will join a cohort of engineers who will build their careers through collaborative projects and learning opportunities. With a dedicated mentor and supportive team, you'll onboard quickly and start contributing to impactful projects soon after starting here at Databricks!

As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2026 intern cohort where you'll connect with engineers, other interns, and leaders from across the company.

As a software engineer, you will work with our engineering team to build infrastructure and products for the Databricks platform. We're hiring across all of our teams, including backend, full stack, infrastructure, databases, systems, tools, cloud, and customer-facing products. You will join a cohort of engineers who will build their careers through collaborative projects and learning opportunities. With a dedicated mentor and supportive team, you'll onboard quickly and start contributing to impactful projects soon after starting here at Databricks!

The Multilingual Engine team at Oracle Labs works on further developing this platform to provide innovative features for database apps. Internships in the Multilingual Engine team offer the opportunity to work with state-of-the-art database and virtual machine technology, and have a direct impact on the world's premier database system. Potential Topics: WebAssembly for In-Database Applications Co-Optimizing JavaScript and SQL QueriesJust-in-Time Compilation of Regular Expressions in Oracle Database

MongoDB is seeking a Software Engineer to join the Atlas Clusters Automation Team. The team is responsible for building MongoDB Atlas, our database as a service offering and fastest growing product. Atlas allows users to deploy fault-tolerant, secure, globally distributed MongoDB clusters in just minutes.

Join the MongoDB Server Query team, and help us build a world-class distributed open source query engine. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, from parsing to optimization to plan selection and finally execution. This also includes our geospatial search and update subsystems.