Data Engineer - ETL & Airflow (Remote)

Agileengine; Victoria; A distancia; ARS 135.601.000 - 203.402.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work with flexible hours

Meaningful, modern projects

Collaborative culture

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Data Engineer to own ETL pipelines powering analytics for higher education clients. You will design, build, and maintain data workflows using SQL, Python, and Apache Airflow, moving data into cloud data warehouses.

You will adapt shared pipelines for individual clients, keep code clean, monitor production pipelines, and collaborate with analysts and stakeholders to turn requirements into scalable data solutions.

Formación

• 3-4 years of experience in data engineering or a closely related software engineering role.
• Strong SQL, including complex joins, window functions, and dimensional / star-schema modeling.
• Strong Python programming skills.
• Hands-on Apache Airflow experience (DAGs, operators, scheduling, and troubleshooting failed jobs).
• Working knowledge of ETL patterns and cloud data warehouse design (Amazon Redshift or similar: Snowflake, BigQuery, Synapse).
• Git and GitLab (or GitHub/Bitbucket) for day-to-day version control.
• Docker / Docker Compose
• Understanding of data management concepts
• Ability to translate client and business requirements into SQL, configuration, and DAG changes
• Upper-intermediate English level

Responsabilidades

• Design, build, and maintain ETL pipelines and data workflows across multiple environments (development, staging, and production).
• Implement and extend data models and datasets to support analytical and reporting needs.
• Adapt and customize shared data pipelines for individual clients while maintaining a clean, reusable codebase.
• Monitor and support production data pipelines, investigate failures, and deliver fixes in a timely manner.
• Write and maintain database DDL, data validation queries, and deployment scripts.
• Contribute to platform modernization initiatives, including infrastructure upgrades and adoption of new data technologies.
• Collaborate with client teams, analysts, and stakeholders to gather requirements and deliver solutions.

Conocimientos

3-4 years experience in data eng

SQL

Python

Apache Airflow

ETL patterns & cloud warehouse design

Git & GitLab

Docker / Docker Compose

Data management concepts

Translate requirements to SQL/DAG

Upper-intermediate English

Herramientas

Apache Airflow

Amazon Redshift

Snowflake

BigQuery

Synapse

GitLab

Docker

Descripción del empleo

AgileEngine is seeking a Data Engineer to own ETL pipelines powering analytics for higher education clients. You will design, build, and maintain data workflows using SQL, Python, and Apache Airflow, moving data into cloud data warehouses.

You will adapt shared pipelines for individual clients, keep code clean, monitor production pipelines, and collaborate with analysts and stakeholders to turn requirements into scalable data solutions.