Databricks
Data AI · Lakehouse
- HQ
- San Francisco, US
- Founded
- 2013
- Size
- 8,000+
- Website
- databricks.com
- Blog
- databricks.com
Products
Competitors
- Scale AI · Data AI
Data AI · Lakehouse
Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - Distributed Data Systems Databricks is seeking a Senior Software Engineer to build the next generation of distributed data storage and processing systems. This role involves working on core components like Apache Spark, Data Plane Storage, Delta Lake, and Delta Pipelines, focusing on performance, scalability, and reliability for diverse data workloads including ETL and data science. | — | 0 |
| Senior Software Engineer - Backend Databricks is seeking a Senior Software Engineer - Backend to build infrastructure and products for their data and AI platform. The role involves working on various backend domains including serverless platforms for Gen AI workloads, core cloud infrastructure, partner integrations, notebook experiences for data science and ML, and application platforms for internal engineers. The ideal candidate will have production-level experience in backend development, distributed systems, and cloud technologies. | — | 0 |
| — |
| 0 |
| Staff Software Engineer - Backend Databricks is seeking a Staff Software Engineer - Backend in Bengaluru, India, to work on their AI infrastructure platform. The role involves developing backend services, distributed data systems, and potentially full-stack features, focusing on large-scale distributed systems, SaaS platforms, and service-oriented architectures. Experience with languages like Python, Java, Scala, or C++ and a BS in Computer Science are required. | — | 0 |
| Senior Software Engineer (Backend) Software Engineer (Backend) at Databricks, focusing on building and scaling the company's data and AI infrastructure platform. The role involves developing foundational infrastructure, cloud-agnostic abstractions, and tools to enhance engineering efficiency, particularly optimizing the Rust development experience. | — | 0 |
| Engineering Manager - Compute Infra Engineering Manager to lead a team responsible for critical components of Databricks' compute platform, which runs all Data, AI and stateful workloads across all major clouds. The platform launches millions of VMs daily and must deliver extreme elasticity, reliability, and cost efficiency. | — | 0 |
| Staff Software Engineer - Distributed Data Systems Databricks is seeking a Staff Software Engineer to build the next generation of distributed data storage and processing systems. This role involves working on large-scale software platforms, including Apache Spark, Delta Lake, and Delta Pipelines, to support diverse workloads ranging from ETL to data science. The ideal candidate will have extensive experience with distributed systems, databases, and big data technologies. | — | 0 |
| Staff Software Engineer - Distributed Data Systems Databricks is seeking a Staff Software Engineer to work on their distributed data systems, focusing on building and running their data and AI infrastructure platform. The role involves developing next-generation distributed data storage and processing systems, with projects including Apache Spark, Data Plane Storage, Delta Lake, Delta Pipelines, and Performance Engineering. The ideal candidate has extensive experience in distributed systems, databases, and big data systems. | — | 0 |
| Staff Software Engineer - Database Engine Internals Databricks is seeking a Staff Software Engineer to work on the core database engine internals, focusing on building next-generation query engines and structured storage systems. The role involves designing and implementing systems for query compilation, optimization, distributed execution, vectorized engines, data security, resource management, transaction coordination, and efficient storage structures to support diverse workloads from ETL to data science within their unified data and AI platform. | — | 0 |
| Staff Software Engineer - Database Engine Internals Databricks is seeking a Staff Software Engineer to work on the core database engine, focusing on query compilation, optimization, distributed execution, and storage structures. The role is part of a team building a next-generation query engine and structured storage system to support diverse workloads from ETL to data science within their unified platform. | — | 0 |
| Solutions Architect - Montreal Solutions Architect role at Databricks focused on designing data architectures using Databricks technology, partnering with sales to drive customer adoption and technical discussions throughout the sales lifecycle. Responsibilities include developing account strategies, presenting reference architectures, and consulting on big data, data engineering, and data science/ML projects. | — | 0 |
| Sr. Software Engineer - Performance Databricks is seeking a Sr. Software Engineer focused on Performance to join their team. This role involves evaluating product performance, identifying bottlenecks, and collaborating with engineers to solve performance and scalability issues within their large-scale data and AI infrastructure platform. Responsibilities include setting performance targets, developing benchmarks, conducting competitive analysis, and working with customers to resolve production performance problems. | — | 0 |
| Sr. Software Engineer - Performance Databricks is seeking a Sr. Software Engineer focused on performance to join their team. This role involves evaluating product performance, identifying bottlenecks, and collaborating with engineers to solve performance and scalability issues across their large-scale data and AI infrastructure platform. Responsibilities include setting performance targets, developing benchmarks, analyzing competitive performance, and mitigating performance problems for customers. | — | 0 |
| Staff Software Engineer - Backend Databricks is seeking a Staff Software Engineer - Backend to work on their data and AI infrastructure platform. The role involves designing, implementing, testing, and operating micro-services for the platform, focusing on backend development with languages like Scala/Java, data pipelines, and cloud integrations. The role is not directly building AI models but supporting the infrastructure for data and AI teams. | — | 0 |
| Staff Software Engineer - Backend Databricks is seeking a Staff Software Engineer - Backend to work on their data and AI infrastructure platform. The role involves designing, implementing, testing, and operating micro-services for the Databricks platform, focusing on large-scale distributed systems, data pipelines, and cloud integrations. The engineer will contribute to various teams such as Data Science and Machine Learning Infrastructure, Compute Fabric, Data Plane Storage, Enterprise Platform, Observability, Service Platform, or Core Infra. | — | 0 |
| Senior Software Engineer - Backend Databricks is seeking a Senior Software Engineer - Backend to work on infrastructure and products for their data and AI platform. The role involves building scalable, reliable services and infrastructure for big data and machine learning workloads, with a focus on distributed systems and cloud technologies. | — | 0 |
| Senior Software Engineer - Fullstack Full Stack Software Engineer at Databricks to build and scale the Data Intelligence Platform, focusing on enabling data teams to derive insights from data, from data loading to production deployment of statistical models. The role involves creating simple workflows for compute clusters, data pipelines, and SQL-based data exploration and dashboarding experiences. | — | 0 |
| Senior Software Engineer - Infrastructure and Tools Senior Software Engineer focused on building and extending the core Databricks infrastructure platform, which supports Big Data and AI workloads. Responsibilities include architecting multi-cloud systems, improving software development workflows, and developing automated build, test, and release infrastructures. | — | 0 |
| Senior Software Engineer - Fullstack Full Stack Software Engineer at Databricks, a data and AI company, focusing on building and scaling their Data Intelligence Platform. The role involves working on the full product lifecycle from data loading to deploying production artifacts, with an emphasis on user experience, robust and scalable product development, and enabling customers to derive insights from data. | — | 0 |
| Senior Software Engineer - Backend Databricks is seeking a Senior Software Engineer - Backend to work on infrastructure and products for their data and AI platform. The role involves building scalable, reliable services and infrastructure for big data and machine learning workloads, with a focus on distributed systems and cloud technologies. | — | 0 |
| Engineering Manager - Backend Engineering Manager for backend infrastructure and platform services at Databricks, focusing on resource management, scalable services, and tools for engineers operating across clouds and environments. The role involves hiring, team development, technical standards, roadmap planning, and cross-team coordination. | — | 0 |
| Senior Software Engineer - Database Engine Internals Databricks is seeking a Senior Software Engineer to work on the internals of their database engine, focusing on next-generation query engines and structured storage systems. The role involves designing and implementing systems for query compilation, execution, optimization, data security, resource management, and storage structures to support diverse workloads including ETL and data science. | — | 0 |
| Senior Software Engineer - Distributed Data Systems Databricks is seeking a Senior Software Engineer to build the next generation of distributed data storage and processing systems. This role involves working on projects like Apache Spark, Delta Lake, and Delta Pipelines, focusing on performance, scalability, and reliability for diverse data workloads including ETL and data science. The ideal candidate has 5+ years of production experience in Java, Scala, or C++, with a strong foundation in algorithms, data structures, and distributed systems. | — | 0 |