AI-Enabled Data Engineer (Full-Stack)

Location: Remote – LATAM

Type of Contract: Full-Time

Salary Range: Market Rates

Language Requirements: Advanced English (Written & Spoken)

Our client is seeking a skilled AI-Enabled Data Engineer (Full-Stack) with expertise in API integrations, cloud data platforms, and AI-assisted software development to join their growing team. You will play a key role in designing and building the company's centralized data infrastructure, integrating financial and operational systems into a scalable reporting platform. Your work will directly impact business intelligence, operational efficiency, and strategic decision-making by delivering reliable, real-time data and intuitive dashboards.

Key Responsibilities

• Design, build, and maintain integrations with accounting platforms, beginning with QuickBooks Online, while expanding support for additional ERP and financial systems over time.
• Research and help implement a long-term integration strategy for QuickBooks Desktop and other legacy accounting platforms.
• Consolidate data from multiple operational systems, including accounting software, field service platforms, and reputation management tools, into a centralized cloud database such as Supabase/PostgreSQL.
• Develop scalable ETL/ELT pipelines, automated synchronization processes, and monitoring systems to ensure accurate, reliable, and continuously refreshed data.
• Design and optimize relational database schemas, ensuring scalability, performance, and data integrity as new integrations are introduced.
• Build modern web-based reporting dashboards using technologies such as React or Next.js, delivering an intuitive user experience for non-technical stakeholders.
• Manage authentication, OAuth workflows, API rate limiting, pagination, webhooks, logging, and error handling across multiple third-party integrations.
• Leverage AI development tools—particularly Claude Code—to accelerate development, debugging, testing, documentation, and code generation.
• Communicate proactively with stakeholders by providing regular updates, identifying blockers early, and recommending technical solutions and tradeoffs.

Must-Have Qualifications

• Demonstrated, real-world experience using AI coding tools, especially Claude Code, as an integral part of the software development lifecycle.
• Strong experience building and maintaining REST API integrations, including OAuth 2.0 authentication, webhooks, pagination, and rate limiting.
• Advanced SQL and relational database expertise, including schema design, data modeling, query optimization, and PostgreSQL.
• Experience developing and maintaining production-grade ETL/ELT pipelines and automated data synchronization processes.
• Proficiency with at least one backend programming language such as Python, TypeScript/Node.js, or a comparable language.
• Experience developing reporting platforms, custom dashboards, or business intelligence applications using modern front-end frameworks such as React.
• Strong problem-solving skills with the ability to independently research, troubleshoot, and resolve technical challenges.
• Excellent written and verbal English communication skills with experience collaborating directly with U.S.-based stakeholders.

Preferred Qualifications

• Experience working with the QuickBooks Online API or QuickBooks Desktop SDK.
• Hands-on experience with Supabase and PostgreSQL-based cloud architectures.
• Experience integrating field service management platforms such as ServiceTitan, Jobber, or Housecall Pro.
• Familiarity with accounting and financial concepts, including General Ledger (GL), Accounts Receivable (AR), Accounts Payable (AP), journal entries, and chart of accounts.
• Experience building user-friendly interfaces with React, Next.js, or similar modern JavaScript frameworks.
• Knowledge of orchestration and synchronization tools such as Airbyte, Fivetran, n8n, serverless functions, or scheduled automation jobs.
• Experience designing scalable, cloud-native data platforms from the ground up.

What Success Looks Like

• Operates independently while maintaining excellent communication and visibility into ongoing work.
• Proactively identifies opportunities to improve systems, workflows, and development efficiency.
• Delivers production-ready solutions with urgency while maintaining data accuracy and reliability.
• Demonstrates ownership by solving ambiguous problems with minimal direction.
• Effectively manages multiple priorities and adapts quickly in a fast-paced environment.
• Uses AI tools strategically to maximize productivity while maintaining high engineering standards.
• Consistently delivers work aligned with the client's culture of ownership, initiative, continuous learning, and operational excellence.