Remote Data Engineer (Snowflake) - ELT & Data Modeling Pro

BairesDev; Jalisco; Presencial; MXN 1.527.000 - 2.546.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

USD or local currency

Home office setup

Flexible hours

Parental leave & holidays

Growth opportunities

Mentorship

Descripción de la vacante

BairesDev is seeking a Data Engineer (Snowflake) to design and build scalable ELT pipelines and data models that power analytics. You will bridge raw data sources and actionable insights, ensuring data is transformed and organized for high-performance analytics.

Join a global, 100% remote team and leverage Snowflake, dbt, and Airflow to deliver robust data solutions while collaborating with stakeholders to define data requirements and quality standards.

Formación

• 4+ years of data engineering with modern data stack focus.
• Proven ELT pipelines and data models using Snowflake.
• Hands-on dbt for data transformation and modeling.
• Airflow for workflow orchestration and pipeline management.
• Advanced SQL for data extraction and performance.

Responsabilidades

• Design, implement, and optimize robust ELT workflows using Snowflake and dbt.
• Develop modular data models and apply code quality practices.
• Orchestrate complex pipeline dependencies and schedules with Airflow.
• Write and tune high-performance SQL queries for Snowflake.
• Collaborate with stakeholders on data requirements and schemas.
• Monitor pipeline health and resolve performance bottlenecks.

Conocimientos

Snowflake ELT

dbt

Apache Airflow

SQL proficiency

Data modeling

English fluency

Herramientas

Snowflake

dbt

Apache Airflow

SQL

Descripción del empleo

BairesDev is seeking a Data Engineer (Snowflake) to design and build scalable ELT pipelines and data models that power analytics. You will bridge raw data sources and actionable insights, ensuring data is transformed and organized for high-performance analytics.

Join a global, 100% remote team and leverage Snowflake, dbt, and Airflow to deliver robust data solutions while collaborating with stakeholders to define data requirements and quality standards.