Senior Data Engineer - Remote, Scalable Data Platform

Agileengine; Santiago de Querétaro; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

100% remote with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will design ETL/ELT pipelines, optimize Snowflake schemas, and implement DataOps practices. You will orchestrate workflows with Airflow, Prefect, or Dagster, ensure data quality, and apply CI/CD standards to data repositories.

You will collaborate across teams to ingest data from REST APIs and streaming sources, helping drive reliable, accessible analytics for Fortune 500 brands and startups.

Formación

• 4+ years of experience as a Data Engineer.
• Demonstrable expertise writing modular, maintainable Python code.
• Deep knowledge of complex SQL queries and data modeling.
• Hands-on experience with Snowflake.
• Production experience with workflow orchestration engines like Airflow/Prefect/Dagster.
• Experience with REST APIs and streaming/batch ingestion.
• Knowledge of CI/CD and Docker.

Responsabilidades

• Design, build, and maintain reliable ETL/ELT workflows.
• Design Snowflake schemas for performance and analytics.
• Ingest data from REST APIs, event streams, and batch sources.
• Orchestrate workflows with Airflow/Prefect/Dagster.
• Implement data quality checks and lineage tracking.
• Apply DataOps practices with Git, Docker, and IaC basics.
• Write clear, well-tested code and maintain documentation.

Conocimientos

Python fundamentals

Advanced SQL

Data pipeline development

Data warehousing

Workflow orchestration

Integrations & ingestion

Data quality & lineage

DevOps / DataOps

English (upper-intermediate)

Herramientas

Git

Docker

CI/CD

IaC basics

Airflow

Prefect

Dagster

Snowflake

dbt (nice to have)

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will design ETL/ELT pipelines, optimize Snowflake schemas, and implement DataOps practices. You will orchestrate workflows with Airflow, Prefect, or Dagster, ensure data quality, and apply CI/CD standards to data repositories.

You will collaborate across teams to ingest data from REST APIs and streaming sources, helping drive reliable, accessible analytics for Fortune 500 brands and startups.