Lead Data Engineer - Remote with Flexible Hours

AgileEngine

Puebla de Zaragoza

Presencial

MXN 800.000 - 1.100.000

Jornada completa

hace 26 horas
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Ventajas ofrecidas por este puesto de trabajo

Growth budget
Competitive compensation
Remote work
Modern projects
Collaborative culture
Well-being programs

Descripción de la vacante

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a high-volume marketing analytics platform. You will govern ETL pipelines, define DAG-based orchestration with Airflow, and lead a team of senior developers while shaping the technical approach.

The role requires autonomy, deep OLAP experience, and strong AWS data stack skills, with 100% remote work. English proficiency and leadership are essential for guiding architecture and code quality.

Formación

  • 7+ years of engineering experience designing ETL pipelines and large data systems.
  • OLAP-style data architecture experience with Athena/Trino/Presto, BigQuery, Snowflake, Spark SQL or similar.
  • Experience designing data lakes on object storage with partitioning and Parquet/ORC formats.
  • Deep DAG/workflow orchestration knowledge (Airflow or comparable).
  • Hands-on AWS data stack experience (S3, Athena, EKS).
  • Python backend development (FastAPI or Flask) and REST/GraphQL familiarity.
  • Docker and PostgreSQL for transactional/application layer.
  • Strong Mac/Linux terminal skills; comfortable in code-heavy environments.
  • Experience using AI-assisted development tools and responsible AI practices.
  • Ability to defend technical decisions and operate under ambiguity.
  • Upper-Intermediate English proficiency.

Responsabilidades

  • Design and own ETL pipelines for scalable data extraction and transformation.
  • Make architectural calls on partitioning, file formats, and near-real-time processing for OLAP workloads.
  • Own DAG design and triggering strategies in Airflow; lead architectural discussions.
  • Drive AWS data stack usage and coordinate with DevOps for infra decisions.
  • Review PRs and enforce code quality; mentor senior developers.
  • Guide the team to align with established engineering practices.

Conocimientos

ETL pipelines
OLAP architecture
Airflow
AWS data stack
Python
REST/GraphQL
PostgreSQL
Docker
Mac/Linux terminal
AI-assisted development
Ambiguity handling
English communication

Herramientas

Airflow
S3
Athena
EKS
PostgreSQL

Descripción del empleo

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a high-volume marketing analytics platform. You will govern ETL pipelines, define DAG-based orchestration with Airflow, and lead a team of senior developers while shaping the technical approach.

The role requires autonomy, deep OLAP experience, and strong AWS data stack skills, with 100% remote work. English proficiency and leadership are essential for guiding architecture and code quality.

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