Data Infrastructure Engineer (Java & Rust)
MWDN
- 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
Zahtevi

Potrebne kvalifikacije
Poželjne kvalifikacije
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.
Company name:LakeOps Why does MWDN rock?:
Here’s what you can expect when you join MWDN:
- Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises.
- Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals.
- Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes.
- Professional development: We offer English courses and professional growth opportunities, as well as team-building events.
Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU .
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
- 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
- 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 pluse 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
✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Home assignment (Rust) — ✅ Final client interview— ✅ Offer
REQUIREMENTS
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