Insurance Data Engineer – Remote/Hybrid AI Pipelines

MincaAI; Monterrey; Hybrid; MXN 550,000 - 850,000; Full time

Benefits offered by this job

Impactful data models

Work with major Mexican insurers

Fast-moving team

Remote within Mexico

Job summary

MincaAI in Mexico is seeking a Data Engineer to turn messy client data into clean, structured data for AI workflows. You’ll own data across deployments for Auto Fleet, Property & Casualty, and Life, working with insurers on integrations and on-prem constraints.

You’ll build ingestion pipelines, enforce data quality, and collaborate with client IT teams to streamline onboarding for new deployments while using OpenShift and cloud/on-prem setups.

Qualifications

• 3+ years as a Data Engineer or Backend Engineer with heavy data work.
• Strong SQL and PostgreSQL data modeling, performance, migrations.
• Python for ETL/ELT pipelines.
• Experience integrating messy, heterogeneous sources (legacy databases, Excel/CSV, APIs).
• Daily use of AI coding tools (Claude Code, Cursor). This is non-negotiable.
• Professional English and native or fluent Spanish.
• Ownership: you take a fuzzy problem and ship a working solution without waiting for specs.

Responsibilities

• Map and model client databases into MincaAI’s canonical data model.
• Build and maintain ingestion and transformation pipelines from client core systems, files and APIs.
• Define data quality rules, validation and monitoring, and own data reliability in production.
• Work directly with client IT teams on extractions, integrations and on-premises constraints (OpenShift).
• Make client onboarding repeatable so each new deployment is faster than the last.

Skills

SQL

PostgreSQL

Python

ETL pipelines

Data integration

AI coding tools

English

Spanish

Ownership

Tools

OpenShift

AWS

Docker

Redis

dbt

Airflow

Job description

MincaAI in Mexico is seeking a Data Engineer to turn messy client data into clean, structured data for AI workflows. You’ll own data across deployments for Auto Fleet, Property & Casualty, and Life, working with insurers on integrations and on-prem constraints.

You’ll build ingestion pipelines, enforce data quality, and collaborate with client IT teams to streamline onboarding for new deployments while using OpenShift and cloud/on-prem setups.