About the job
MWDN is a global IT outstaffing company with 23+ years of experience that connects exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We offer opportunities to work on international products in a stable and professional environment.
What is your new project?:
- Domain: Data Infrastructure & Analytics / Data Engineering
- Client Location: Israel
- Company Size: 2–10 employees
- Founded in: 2025
A technology startup building an AI-powered platform for autonomous data lakehouse management and optimization. The product automates data maintenance, improves query performance, and reduces infrastructure costs across large-scale data environments using Apache Iceberg. The team focuses on high-performance data systems, distributed computing, Rust-based optimization, and AI integration, offering an opportunity to work on complex data infrastructure challenges in an early-stage product company.
What makes this project exciting?:
We're looking for a Data Infrastructure Engineer to build and maintain high-performance data lakehouse infrastructure. You'll develop reliable data maintenance workflows for Apache Iceberg, covering compaction, snapshot expiry, manifest rewriting, and orphan file cleanup, with a strong focus on data integrity and correctness.
This role combines distributed data systems with open-source development. You'll also contribute to a Rust-based, multi-engine SQL query router, maintaining connectors, reviewing community contributions, and shaping the product roadmap. You'll have significant ownership and the opportunity to solve complex data infrastructure challenges in a product-focused startup.
What makes you a great fit:
- 5+ years of software development experience in Java
- Strong Rust development experience
- Experience with TypeScript
- Production experience with data infrastructure and maintaining production systems
- Working knowledge of Apache Iceberg and Parquet
- Solid experience with PostgreSQL
- Experience with Kubernetes
- Understanding of data maintenance operations and data integrity
- Ability to work independently and take ownership of technical solutions
- Strong communication and collaboration skills, including code reviews and open-source contributions
Nice-to-Have:
- Experience with Apache Spark or DataFusion
- Experience with query engines such as Trino
- Experience with SQL routing, query proxying, or multi-engine query systems
Your day-to-day in this position:
- Design and ship the services that turn table health signals into safe, correct maintenance operations
- Make every commit to a customer’s table verifiably correct, including under concurrent writers, retries, and partial failures
- Work on a production-grade compaction engine and the systems around it
- Maintain QueryFlux: triage issues, review pull requests, build new engine connectors, and cut releases
- Run what you build in production, including on-call and debugging in customers’ real environments
Why work with us?:
- People-first management with minimal bureaucracy
- A friendly company culture, proven by employees who choose to return
- Flexible working hours
- 29 days of PTO (18 working days per year plus all national holidays)
- 10 paid recovery days
- Full financial and legal support for independent contractors
- Free English classes, with native speakers or Ukrainian teachers
- Dedicated HR support