Senior Data Engineer: Build Scalable Pipelines (Remote)

AgileEngine, LLC.; Monterrey; Híbrido; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine in Mexico is seeking a Senior Data Engineer to architect, build, and scale a modern data platform. You will design production-grade ETL/ELT pipelines, optimize Snowflake schemas, and establish robust DataOps practices.

You will orchestrate workflows using Airflow, Prefect, or Dagster and integrate third‑party REST APIs and event‑driven sources. The role emphasizes clean, well-tested Python code and a deep commitment to data reliability and accessibility, with remote/office-flexible

Formación

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Python, including modular, maintainable, and well-tested code.
• Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns.
• Hands-on experience with Snowflake.
• Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster.
• Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines.
• Experience implementing automated data quality checks, data lineage, and alerting mechanisms.
• Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals.

Responsabilidades

• Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;
• Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;
• Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;
• Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;
• Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime;
• Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;
• Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.

Conocimientos

Python

SQL

Rest APIs

Data quality

Git

Docker

CI/CD

Infrastructure as Code

Airflow

Prefect

Dagster

Data pipelines

Herramientas

Snowflake

Apache Airflow

Prefect

Dagster

Git

Docker

CI/CD

Descripción del empleo

AgileEngine in Mexico is seeking a Senior Data Engineer to architect, build, and scale a modern data platform. You will design production-grade ETL/ELT pipelines, optimize Snowflake schemas, and establish robust DataOps practices.

You will orchestrate workflows using Airflow, Prefect, or Dagster and integrate third‑party REST APIs and event‑driven sources. The role emphasizes clean, well-tested Python code and a deep commitment to data reliability and accessibility, with remote/office-flexible