
51 - 200 employees
Founded 2020
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
e6data is a hybrid, AI-native lakehouse compute engine that provides high-performance query, ETL, and real-time ingest for modern data platforms. The platform runs on cloud, on-prem, and hybrid environments and supports table formats like Iceberg, Delta, Hudi, and Hive without requiring migration from Snowflake, Databricks, BigQuery, or Fabric. Using a granular, decentralized “Atomic Architecture,” e6data delivers sub-second latency, high concurrency (thousands QPS), vector search for unstructured data, and claims up to 10x faster queries and ~60% lower compute costs for enterprise data teams while offering enterprise-grade security and governance.
🕒 June 12
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
Founded 2020
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
e6data is a hybrid, AI-native lakehouse compute engine that provides high-performance query, ETL, and real-time ingest for modern data platforms. The platform runs on cloud, on-prem, and hybrid environments and supports table formats like Iceberg, Delta, Hudi, and Hive without requiring migration from Snowflake, Databricks, BigQuery, or Fabric. Using a granular, decentralized “Atomic Architecture,” e6data delivers sub-second latency, high concurrency (thousands QPS), vector search for unstructured data, and claims up to 10x faster queries and ~60% lower compute costs for enterprise data teams while offering enterprise-grade security and governance.
• Work in Rust on the core functionality of the e6data compute engine, keeping query performance as our north star. • Improve existing engine capabilities and query performance. • Be part of the core team involved in scoping, designing, architecting and building out entire features. • Write clean, well-documented, and maintainable code that follows established coding standards and best practices.
• Strong coding skills demonstrated through one or more passion projects you’ve worked on. • A keen understanding of what it means to write performant code. • Demonstrable strength in data structures and algorithms. • Delivered a complex programming outcome, preferably with a distributed system design. • Proficiency in Rust or equivalent language is a strong requirement along with solid programming fundamentals. • Able to go through 3 technical interviews/discussions discussing prior work and solve coding problems. • Some relevant experience on perf and systems related topics is expected. • Data structure / algo Hashmaps - how they work. Be able to talk about chaining vs probing. • Programming Able to distinguish between doing something synchronously vs asynchronously. • How does garbage collection work in VM languages. • Hardware Cache hierarchy
• Best-in-class compensation (top 90 percentile) • An engineering-driven, hybrid workplace culture • Challenging work solving some of the most complex problems in distributed systems engineering and database internals
Apply Now🕒 June 11
Product Engineer II implementing enterprise-level system configurations for data centers and edge hardware. Collaborating with multiple teams for high-quality project delivery.
Linux
🕒 June 11
Software Architect maximizing the value of Salesforce at PAR Technology Corporation. Collaborating with teams to deliver optimized solutions while adhering to best practices.
Cloud
🕒 June 10
Senior Software Engineer designing and building scalable backend systems at a fintech company. Working with a remote global team on blockchain integrations and high-availability systems.
Cloud
Distributed Systems
JavaScript
Microservices
Node.js
🕒 June 10
Senior Product Engineer developing specialized AI agents for Aedeon's modernization platform. Collaborating with teams to ensure delivery from prototype to deployment while maintaining quality standards.
AWS
Distributed Systems
Docker
DynamoDB
Kubernetes
Python
🕒 June 10
Full-Stack Developer working on AI-driven marketing solutions within Shadow. Responsible for integration of back-end and front-end technologies, mentoring peers, and architecting system features.
Docker
Google Cloud Platform
GraphQL
JavaScript
Kubernetes
Node.js
Postgres
Python
React
TypeScript