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Miguel Hidalgo, Ciudad de México💼 Full-time🗓 2026-03-19 → 2026-08-14

Core

Building robust and scalable data pipelines to support analysis and processing needs for a Mexican fintech serving 70,000 clients.

Role type

Data Engineer

Builds

Data pipelines, data warehouses, and ETL processes for financial services

Domain

Fintech / Financial Services

Deliverable

production ML models | product features | dashboards & analysis

Required skills

ETL, Data Modeling, AWS Services, Python, SQL, Spark, Big Data tools, API protocols

Preferred skills

Business acumen, translating business rules to data transformation logic

Technologies

AWS, Python, SQL, Spark, GIT

Responsibilities

Integrate data from multiple sources, prepare and mine data, transform data according to technical and business rules, design and develop data pipelines for extraction and ingestion, manage data modeling and ERM creation, manage sizing and performance testing for data consumption layers, define best practices for ingestions and ETLs, monitor data system performance and health

Seniority

Mid-level, hands-on IC

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