Software Engineer – Engine

Job not on LinkedIn

December 30, 2024

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e6data

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.

51 - 200 employees

Founded 2020

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Work 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.

🎯 Requirements

• 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. • You have a strong work ethic, are self-directed, and are willing to ramp up quickly and deliver the engineering outcomes that will make our customers successful. • Our current primary programming language is Java. However, proficiency in Java isn’t a strong requirement—instead, solid programming fundamentals are.

🏖️ Benefits

• Challenging work solving some of the most complex problems in distributed systems engineering and database internals. • Best-in-class compensation (top 90 percentile). • An engineering-driven, hybrid workplace culture.

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