Senior Data Engineer — Remote, High-Throughput Pipelines

Medium; Rosario; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Long-term commitment

Career development

Descripción de la vacante

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for global clients from Argentina. The role focuses on processing large financial and transactional data with Python, SQL, Spark, and AWS in a fast-paced setting.

You will own end-to-end pipelines, cloud architectures, and data governance, collaborating with Data Scientists, Software Engineers, and Product Managers to deliver reliable data solutions and maintain high quality standards across systems.

Formación

• 5+ years of experience in Data Engineering or related software roles.
• Strong Python and SQL for data processing and software development.
• Hands-on experience with Spark/PySpark and lakehouse architectures.
• Expertise in AWS data services (S3, Glue, Athena, Lambda).
• Experience with Airflow, Snowflake/Redshift/BigQuery, and dbt.
• Knowledge of DevOps/DataOps, Git, CI/CD, and IaC tools.

Responsabilidades

• Design, build, and maintain high-throughput data pipelines for financial transactions.
• Scale cloud data warehouse/lakehouse architectures for massive data volumes.
• Collaborate with Data Scientists, Software Engineers, and Product Managers.
• Implement data quality, testing, monitoring, and alerting to ensure data integrity.
• Drive DataOps adoption including CI/CD, workflow automation, and IaC.
• Champion data governance, privacy, and security standards, GDPR/LGPD compliance.
• Mentor junior and mid-level Data Engineers.

Conocimientos

Python

SQL

Apache Spark

AWS

Data engineering

Herramientas

Apache Airflow

Snowflake

Redshift

BigQuery

Delta Lake

Databricks

Kinesis

dbt

Terraform

Git

Docker

CI/CD

Terraform

Descripción del empleo

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for global clients from Argentina. The role focuses on processing large financial and transactional data with Python, SQL, Spark, and AWS in a fast-paced setting.

You will own end-to-end pipelines, cloud architectures, and data governance, collaborating with Data Scientists, Software Engineers, and Product Managers to deliver reliable data solutions and maintain high quality standards across systems.