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We are looking for a Full-Stack JavaScript Developer (Node.js + Vue.js) to join a data-intensive real estate/proptech project. You’ll work closely with solution architects and data engineers to build an MVP around Snowflake-centric analytics, Chrome extension–based data collection, and AI-assisted workflows.
Job Responsibility:
Work as a full-stack engineer, owning features from API to UI: Develop and maintain Node.js backend services for data ingestion, processing, and application logic
Implement Vue.js frontend components and pages (forms, tables, filters, dashboards)
Collaborate with solution architects and data engineers to: Consume and expose data from Snowflake and other data sources
Align on data models and contracts between the application and the data warehouse
Integrate with: Chrome extension–based data capture flows
External data providers and internal APIs
Ensure code quality: Write clean, testable, maintainable code in both the back end and the front end
Participate in code reviews, refactoring, and technical design discussions
Contribute to architecture and technical decisions for the MVP and further phases
Collaborate with PM/BA and client stakeholders, clarify requirements, and propose implementation options
Help improve DevOps and delivery practices (logging, monitoring, basic CI/CD improvements) within the scope of your work
Continuously learn and adopt best practices around data-intensive systems and AI-assisted development
Requirements:
4+ years of commercial experience with JavaScript/TypeScript
3+ years of commercial experience with Node.js on the back end
Experience building and maintaining REST/JSON APIs
Solid understanding of authentication/authorization, error handling, and logging
2+ years of commercial experience with a modern front-end framework
Vue.js is preferred (React experience acceptable, with readiness to work in Vue)
Experience building SPA dashboards, forms, data grids, and filters
Experience working as a true full-stack developer (same engineer owning both backend and frontend features end-to-end)
Strong knowledge of SQL and experience integrating applications with analytical/OLAP stores (Snowflake, Redshift, BigQuery, or similar)
Experience integrating with external APIs and third-party services
Good understanding of asynchronous programming, promises, and event-driven architectures
Practical experience with Git and common branching/code review workflows (PRs, code reviews)
Experience with unit/integration testing for back-end and/or front-end
Ability to collaborate with architects and data engineers (understanding of data models, ETL outputs, contracts)
Experience with AI / LLM integrations (OpenAI, Claude, etc.) from Node.js
Good communication skills
ability to explain technical decisions to non-technical stakeholders
English: Intermediate+ (able to participate in daily stand-ups, grooming sessions, and client calls)
Nice to have:
Experience with Python for data-related tasks
Simple ETL scripts, data validation, or integration with data processing services
Experience with data engineering / analytics stacks, e.g.: Snowflake, Keboola, dbt, Airflow or similar tools
Experience building or integrating with Chrome extensions (content scripts, background scripts, messaging)
Knowledge of Docker and container-based deployment
Familiarity with cloud platforms (AWS / Azure) and managed databases
Experience with CI/CD pipelines (GitHub Actions, Azure DevOps, GitLab CI or similar)
Knowledge of real estate / financial / valuation domains
Experience with performance optimization for data-heavy UIs and APIs
What we offer:
20 paid vacation
5 paid sickness
B2B and remote cooperation
Career development and professional growth
Technical performance reviews and 360 Evaluation
Collaboration with a personal Direct Manager, Technical leads, and mentors
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