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Exclusive Resorts · 3 days ago

Node.js Engineer

United States

Full-time

Remote

Mid Level

$100K/yr - $118K/yr

3+ years exp

Exclusive Resorts is seeking a Node.js Engineer who excels at building scalable services and integrating complex systems. The role focuses on writing high-quality TypeScript/Node.js code and supporting data-driven workflows while collaborating effectively with teammates and stakeholders.

LifestyleResortsTravel

Work & Life Balance

Hiring Manager

Leah Backes

Responsibilities

Write clean, production‑ready TypeScript/Node.js code for backend services and integrations

Build and maintain APIs, microservices, and event‑driven components

Develop and support data pipelines (ETL/ELT) where needed to power applications and analytics

Create integrations between Salesforce, SQL Server, and internal systems

Implement automated alerting, monitoring, and logging for services and pipelines

Transform and validate data to ensure accuracy, consistency, and usability

Troubleshoot and resolve backend and data‑related issues with durable, long‑term fixes

Document systems, APIs, and workflows for maintainability

Use AI coding tools to accelerate development and improve code quality

Automate repetitive tasks to increase engineering efficiency

Stay current with emerging backend and data technologies

Lead projects from requirements through deployment and support

Make and communicate technical decisions clearly and confidently

Collaborate with analysts, engineers, and business stakeholders to deliver high‑impact solutions

Proactively identify opportunities to improve architecture, performance, and developer experience

Qualification

Node.jsTypeScriptSQL ServerETL/ELTPythonSalesforce APIsGitCI/CD pipelinesAI coding toolsCloud data warehouses

Required

3+ years of professional experience in backend engineering, Node.js development, or data‑focused software engineering

Strong proficiency in TypeScript/Node.js

Solid Python experience for data‑related tasks and automation

SQL Server expertise including queries, performance tuning, and stored procedures

Experience working with Salesforce data and APIs

Understanding of ETL/ELT patterns, data modeling, and data quality principles

Production mindset with strong focus on error handling, observability, and reliability

Ability to work independently with minimal direction

Familiarity with Git, CI/CD pipelines, and modern development workflows

Comfortable using AI coding assistants to enhance productivity

Snowflake or other cloud data warehouses, AWS data services, orchestration tools (e.g., Apache Airflow), exposure to data science concepts, and integration platforms such as Mulesoft or BizTalk