Lead Data Engineer - Remote, Scalable ETL & Analytics

AgileEngine

San Carlos de Bariloche

Presencial

ARS 3.000.000 - 5.000.000

Jornada completa

Hace 10 días

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Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
100% remote
Modern tech stack
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a large-volume marketing analytics platform. You will define partitioning, file formats, and near-real-time processing for OLAP workloads on an S3-backed data lake, and lead a team of senior engineers while ensuring code quality.

You will design and govern ETL pipelines, orchestrate DAGs with Airflow, and drive the AWS data stack with Athena and EKS.

Formación

  • Seven+ years of engineering experience with ETL pipelines and large data systems.
  • OLAP data architecture experience with Athena, Trino/Presto, BigQuery, Snowflake, Spark SQL, ClickHouse.
  • Experience designing and implementing data lakes on object storage (S3) with Parquet/ORC.
  • Deep familiarity with DAG-style orchestration (Airflow) or equivalents.
  • Hands-on AWS data stack (S3, Athena, EKS) and collaboration with DevOps.
  • Python backend (FastAPI/Flask); REST and GraphQL.
  • Docker and PostgreSQL in production.
  • Mac/Linux terminal proficiency.
  • Experience with AI-assisted development tools (Claude Code) and responsible AI usage.
  • Strong opinions and ability to defend technical choices in scalable designs.
  • Comfort with ambiguity and defining problems before solving them.
  • Upper-Intermediate English.

Responsabilidades

  • Design and own ETL pipelines extracting/transforming data at scale.
  • Make architectural calls on partitioning, file formats, and near-real-time processing for OLAP workloads.
  • Own design of scheduled batch workflows (DAGs) on Airflow; define structure, dependencies, and triggering strategy.
  • Drive AWS data stack usage and partner with DevOps to clarify requirements.
  • Review PRs and enforce code quality standards.
  • Guide senior developers and align with engineering practices.

Descripción del empleo

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a large-volume marketing analytics platform. You will define partitioning, file formats, and near-real-time processing for OLAP workloads on an S3-backed data lake, and lead a team of senior engineers while ensuring code quality.

You will design and govern ETL pipelines, orchestrate DAGs with Airflow, and drive the AWS data stack with Athena and EKS.

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