Staff Data Engineer: Snowflake-Driven Data Platform Lead

Apptegy

Monterrey

Presencial

MXN 1.600.000 - 2.200.000

Jornada completa

Hace 9 días

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Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Private medical insurance for you and/
15 days Aguinaldo
Fondo de Ahorro
Caja de Ahorro
Flexible paid time off
Paid travel onboarding

Descripción de la vacante

Apptegy is building the data platform that powers decision-making for a high-growth SaaS business in Monterrey. As our Staff Data Engineer, you will design, build, and evolve the systems that move, transform, and serve data across the company — with Snowflake at the core of the platform.

This is a high-impact, high-autonomy individual contributor role reporting directly to the VP of Data & Analytics. You will operate as the most senior hands-on engineer, shipping foundational pipelines, setting

Formación

  • 8+ years in data or analytics engineering or platform roles, at Staff/Principal level.
  • Proven production data infrastructure experience at scale with Snowflake.
  • Experience with modern data tooling and BI platforms.

Responsabilidades

  • Design, build, and own high-impact data pipelines and platform primitives.
  • Lead medallion architecture and semantic modeling in Snowflake.
  • Ship data models and BI-ready data for analytics and AI use cases.
  • Guide engineering practices, reviews, and cost optimization.
  • Mentor engineers and collaborate with data science and product teams.

Conocimientos

Snowflake proficiency
SQL
Data modeling
Data governance
Data observability
AI-ready data
Mentoring

Herramientas

dbt
Coalesce
Fivetran
Tableau
Snowflake (core)

Descripción del empleo

Apptegy is building the data platform that powers decision-making for a high-growth SaaS business in Monterrey. As our Staff Data Engineer, you will design, build, and evolve the systems that move, transform, and serve data across the company — with Snowflake at the core of the platform.

This is a high-impact, high-autonomy individual contributor role reporting directly to the VP of Data & Analytics. You will operate as the most senior hands-on engineer, shipping foundational pipelines, setting

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