Senior Full-Stack Data Engineer (Node.js / React.js)

Job description

Our Customer:

A global product company in the cybersecurity domain, focused on helping organizations identify and reduce risks across modern IT environments.

Your Tasks:

- Develop and maintain production features across the full stack, from the React UI through the API to the database.

- Design, maintain and troubleshoot Node.js and TypeScript backend services and production APIs.

- Maintain and enhance the React front end, including modern React patterns, data flow and UI performance.

- Own the data access layer in Node.js/TypeScript, keeping control over generated SQL and performance-critical behavior.

- Design and evolve database schemas, relationships, constraints and data integrity rules.

- Diagnose and optimize slow queries and production bottlenecks using execution plans and index analysis.

- Plan and execute production database migrations with backward compatibility and minimal downtime.

- Trace and resolve production incidents across the UI, API, data access layer and database.

- Interface directly with the international client and engineering team in live technical discussions.

- Deliver high-quality, resilient software updates with limited supervision.

Required Experience and Skills:

- 8+ years of professional software engineering experience, including recent hands-on full-stack work in production systems.

- Strong hands-on experience with Node.js and Node.js frameworks such as NestJS or Hapi.js.

- Expert-level knowledge of TypeScript in both backend services and data access layers.

- Strong production experience with React, including modern React patterns and state and data flow.

- Hands-on experience with state management libraries (MobX or Redux).

- Strong practical SQL skills, preferably with PostgreSQL.

- Hands-on experience with complex JOINs, aggregations and filtering on large datasets.

- Proven ability to diagnose slow queries using EXPLAIN and ANALYZE, execution plans and index effectiveness validation.

- Experience designing and maintaining data access layers with query builders or ORM tools.

- Practical experience with schema design, normalization and denormalization decisions, constraints and data integrity.

- Hands-on experience with multi-step transactional operations, rollback behavior, race conditions and transaction isolation trade-offs.

- Experience with production database migrations, schema versioning, backward-compatible changes and zero-downtime deployment approaches.

- Strong REST API experience, including over-fetching, N+1 problems, latency and efficient mapping of database data into API responses.

- Demonstrated ability to trace production issues across the UI, API, data access layer and database.

- Experience in production environments with large record volumes and high load.

- Experience working in an Agile environment, maintaining code quality through peer reviews and testing.

- Proven ability to work autonomously, clarify requirements and drive tasks to completion without continuous follow-up.

- Proven ability to take ownership of outcomes across the full stack rather than a single component.

- Proven ability to raise risks, blockers and missing information early and provide clear status updates.

- Ability to enter an existing codebase and domain, absorb context quickly and adapt to established engineering practices.

- Ability to receive direct feedback, discuss disagreements professionally and adjust quickly.

- English – Upper-Intermediate

Would Be a Plus:

- Hands-on experience with GraphQL schemas, resolvers and integration

- Experience with Next.js and server-side rendering

- Experience with stored procedures and database-side performance-critical logic

- Experience with Redis and caching strategies that reduce unnecessary database load

- Experience with AWS and cloud-based production environments

- Exposure to Docker, Kubernetes and CI/CD pipelines

- Background in cybersecurity or identity management

- Experience with large-scale identity data (Active Directory or Entra ID)

- Experience with data-intensive, analytics or enterprise high-load products