Senior Data Engineer: Build Scalable Cloud Data Platforms

Coderio; Argentina; A distancia; ARS 136.430.000 - 197.065.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

Long-term commitment with autonomy

High-visibility role in engineering

Collaborative international team

Career development opportunities

Descripción de la vacante

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms that handle large volumes of financial and transactional data. You will work with Python, SQL, Spark, AWS, and modern data architectures, collaborating with data scientists, engineers, and product managers to deliver reliable data solutions.

This remote role offers autonomy and opportunities to influence DataOps and governance.

Formación

• 5+ years in data engineering or related software roles.
• Strong Python and SQL for data processing and software development.
• Hands-on Spark/PySpark, Delta Lake, modern lakehouse architectures.
• Experience with AWS data services (S3, Glue, Athena, Kinesis, Lambda).
• Knowledge of Airflow and data warehousing platforms (Snowflake/Redshift/BigQuery).

Responsabilidades

• Design, build, and maintain high-throughput data pipelines for financial data.
• Scale cloud data warehouse/lakehouse architectures handling large volumes.
• Collaborate with Data Scientists, Engineers, and PMs to translate needs.
• Implement data quality, monitoring, and alerting to ensure data integrity.
• Advocate DataOps incl. CI/CD, IaC, and automation for data systems.
• Support data governance, privacy, and security standards.

Conocimientos

Python

SQL

Data Eng

English proficiency

DevOps/DataOps

Herramientas

Apache Spark/PySpark

Delta Lake

Airflow

Snowflake

Redshift

BigQuery

Kafka/Kinesis

dbt

Terraform

Docker

Git/GitHub Actions

Descripción del empleo

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms that handle large volumes of financial and transactional data. You will work with Python, SQL, Spark, AWS, and modern data architectures, collaborating with data scientists, engineers, and product managers to deliver reliable data solutions.

This remote role offers autonomy and opportunities to influence DataOps and governance.