Remote Data Platform Engineer II — AI-Powered Pipelines

Spring Financial; México; Presencial; MXN 612.000 - 857.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote from Mexico

Competitive compensation

Growth opportunities

Descripción de la vacante

Spring Financial in Mexico is seeking a Data Platform Engineer II to build scalable data infrastructure on AWS and Snowflake, delivering secure, observable pipelines end-to-end.

You’ll own initiatives from scoping to deployment, apply AI to testing and code generation, and partner with Finance, Risk, Analytics, and Engineering to meet SLAs.

This remote role offers meaningful ownership, collaboration, and growth as you shape our data platform and enable self-serve analytics for the business.

Formación

• Experience building data pipelines with Snowflake and AWS-native tools.
• Experience with real-time data systems (Kafka/Kinesis/Flink/Spark).
• Fluency in Python and SQL; IaC exposure (Terraform/CDK).

Responsabilidades

• Build and maintain scalable data pipelines and platform components across AWS and Snowflake.
• Apply AI capabilities to data pipelines and development workflows.
• Collaborate with Engineering, Analytics, Finance and Risk to meet SLAs and governance.

Conocimientos

Snowflake & AWS data pipelines

Python

SQL

Real-time data systems

AI in development workflow

Herramientas

dbt

Terraform

CDK

Descripción del empleo

Spring Financial in Mexico is seeking a Data Platform Engineer II to build scalable data infrastructure on AWS and Snowflake, delivering secure, observable pipelines end-to-end.

You’ll own initiatives from scoping to deployment, apply AI to testing and code generation, and partner with Finance, Risk, Analytics, and Engineering to meet SLAs.

This remote role offers meaningful ownership, collaboration, and growth as you shape our data platform and enable self-serve analytics for the business.