MWDN Logo

MWDN

Data Infrastructure Engineer (Java & Rust)

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Hungary
Senior level
Remote
Hiring Remotely in Hungary
Senior level
Build and maintain high-performance data lakehouse infrastructure, including Apache Iceberg maintenance workflows, compaction, snapshot expiry, manifest rewriting, and orphan-file cleanup. Develop Rust-based query-routing systems, maintain connectors, review open-source contributions, and ensure data integrity under concurrency, retries, and failures. Operate production systems, participate in on-call support, debug customer environments, and contribute to product roadmap decisions.
The summary above was generated by AI
Description

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.

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
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 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
Our next steps

✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Home assignment (Rust) — ✅ Final client interview— ✅ Offer

Similar Jobs

Yesterday
Remote
2 Locations
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills: Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
2 Days Ago
In-Office or Remote
177K-294K Annually
Senior level
177K-294K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads global HTA, HEOR, and evidence-generation strategy for a rare disease therapy. Oversees health economic studies, real-world evidence, economic models, patient-reported outcomes, value dossiers, and reimbursement deliverables. Partners with clinical, medical, commercial, access, statistics, regional, and country teams to support launch and lifecycle market access. Requires advanced training and substantial HEOR experience, strong project and stakeholder management, and expertise in drug development, HTA, and evidence dissemination.
Top Skills: Health Economic ModelingHealth Economics And Outcomes Research (Heor)Health Technology Assessment (Hta)Network Meta-AnalysisPatient-Reported OutcomesReal-World Evidence (Rwe)Systematic Literature Review
2 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads clinical bioanalytical assay strategy and lifecycle management for PK, PD, immunogenicity, and biomarker assays. Oversees assay development, validation, sample analysis, data quality, CRO laboratories, regulatory submissions, inspections, clinical study support, budgets, and compliance. Provides scientific leadership across small-molecule and biologic programs while troubleshooting methods and maintaining current knowledge of bioanalytical technologies and global regulatory expectations.
Top Skills: AceAmsBeadEclElisaElispotFacsFishFlow CytometryGcGxpHplcHrmsLc-AmsLc/MsMass SpectrometryNgsQpcrRt-PcrSpeadUplc

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account