Zaimler
Data Infrastructure Engineer (Query Engine)
About this role
Join a well-funded startup as a Data Infrastructure Engineer focused on building and optimizing query engine systems. You'll work alongside experienced data infrastructure experts to develop tools that make enterprise data AI-ready and streamline data discovery for modern AI applications.
What you'll do
- Design and optimize query engine components to handle large-scale data processing
- Develop high-performance data infrastructure systems supporting semantic knowledge integration
- Collaborate with ML researchers to ensure query engines meet AI and data science workflows
- Build systems that bridge enterprise data with generative AI applications
- Troubleshoot and improve data pipeline reliability and efficiency
- Contribute to architecture decisions for scalable data processing infrastructure
What they're looking for
- Query engine architecture and optimization
- Distributed systems and large-scale data processing
- Database design and SQL performance tuning
- Systems programming (C++, Rust, or Java)
- Data pipeline development
- Cloud infrastructure and data warehousing
- API design and integration
- Problem-solving in complex technical environments
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Zaimler
Zaimler builds a semantic platform powered by advanced AI that transforms raw enterprise data into structured knowledge graphs and embeddings using large language models. The company is hiring Machine Learning Engineers to develop sophisticated algorithms and a Founding Cloud Infrastructure Engineer to establish the foundational cloud systems for their enterprise AI platform.
View all jobs at ZaimlerLikely interview questions
- Walk us through your experience optimizing query performance in distributed systems.
- Describe a complex data infrastructure challenge you solved and your approach.