Senior Data Engineer - Architect Scalable Data Pipelines

Blend; Región Centro; Presencial; MXN 600.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

AWS Certifications

Databricks training

Snowflake training

Udemy Business

English lessons

Travel opportunities

Descripción de la vacante

Blend is seeking a data engineer to build, maintain, and optimize scalable data solutions for analytics and reporting. You will focus on maintainable code, reusable components, and reliable pipelines to support cross-functional initiatives.

The ideal candidate has 5+ years in data engineering, hands-on Databricks or Snowflake experience, and strong data modeling skills, with a collaborative, ownership-driven mindset.

Formación

• 5+ years of experience in data engineering or similar roles.
• Experience building data pipelines with modern platforms (Databricks or Snowflake).
• Strong understanding of data modeling and reusable component design.
• Ability to work independently with high ownership and minimal supervision.

Responsabilidades

• Maintain, optimize, and automate existing code repositories in GitHub.
• Refactor legacy code to simplify maintenance and reuse across use cases.
• Design and build modular, reusable code components for multiple journeys.
• Develop and manage automated data pipelines in Databricks.
• Consolidate KPIs and attributes into standardized data structures.
• Build and maintain scalable data models for analytics use cases.
• Ensure data quality, performance, and reliability across pipelines.
• Collaborate with analytics and engineering teams to improve data processes.

Conocimientos

GitHub workflows

Data pipelines

Databricks

Snowflake

Data modeling

Refactoring

Code maintenance

Herramientas

GitHub

Databricks

Snowflake

Descripción del empleo

Blend is seeking a data engineer to build, maintain, and optimize scalable data solutions for analytics and reporting. You will focus on maintainable code, reusable components, and reliable pipelines to support cross-functional initiatives.

The ideal candidate has 5+ years in data engineering, hands-on Databricks or Snowflake experience, and strong data modeling skills, with a collaborative, ownership-driven mindset.