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Data Engineer / Integrations Specialist

Mexico · Job Posted March 22, 2026
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Job Description

We are seeking a Data Engineer to own the data layer of a growing AI-powered platform focused on automating document processing and ERP integrations. This is a hands-on engineering role centered on building reliable, scalable data pipelines and integration systems that move data between AI workflows and customer ERP environments. You will play a critical role in enabling real-time validation and submission of customer data by connecting document intelligence outputs to ERP systems through robust, production-grade integrations.

Job Responsibility

  • Design, build, and maintain ETL processes, data pipelines, and API integrations that ensure data is accurate, consistent, and available across multiple customer environments
  • Build data sync pipeline for a live customer: crawl ERP products, customers, and pricing data into our validation layer
  • Build ERP connector with REST API integration — auth, retries, timeouts, error handling
  • Build durable workflow: validate extracted order data against ERP reference data, submit on approval
  • Implement data quality checks and monitoring for the sync pipeline
  • Develop generalized ERP adapter pattern
  • Implement improved validation: confidence scoring, auto-submission rules, exception handling
  • Develop schema extensions as new customer requirements and ERP platforms surface
  • Build data reconciliation tooling across multiple customer environments

Requirements

  • 5+ years working with Python in a data engineering or backend integration context
  • Hands-on experience building data pipelines and ETL processes, extracting, transforming, and loading data between systems
  • Proven experience integrating third-party REST APIs, auth, rate limits, retries, error handling
  • Strong understanding of data quality: validation, deduplication, schema management, error recovery
  • Comfortable owning a data track end-to-end: design → build → ship → monitor
  • Can read API documentation and figure things out independently
  • Strong async Python

Nice to have

  • Experience with durable workflow orchestration (Temporal, Prefect, Celery, Airflow, etc.)
  • Data pipeline frameworks (Dagster, dbt, Airflow, etc.)
  • ERP integration experience, any platform (NetSuite, Epicor, Acumatica, WhereFour, or similar)
  • TypeScript/React at a working level — not the primary need, but useful
  • Worked at an early-stage startup before

What we offer

  • Remote opportunity with collaborative team culture
  • Exposure to cloud-first environments and modern DevOps tooling
  • Opportunities for growth and cross-functional impact
  • Dynamic and fast-paced engineering environment

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