Senior Data Engineer, Cloud Ingestion & Integrations

Netrix Global; Buenos Aires; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

100% remote

Long-term commitment

Strategic role in modern engineering

Collaborative international team

Job summary

Coderio is seeking a Senior Data Engineer to design and build scalable data platforms handling financial and transactional data. The candidate will leverage Python, SQL, Apache Spark, Delta Lake, and AWS to deliver production-grade pipelines and data solutions.

You will collaborate with Data Scientists, Software Engineers, and Product Managers to drive data strategy while ensuring data quality, governance, and security across environments. Remote-friendly with international team collaboration.

Qualifications

• 5+ years of experience in Data Engineering or related fields.
• Strong proficiency in Python and SQL for data processing.
• Experience with Spark/PySpark and modern lakehouse architectures.
• Hands-on with AWS data services and data orchestration tools.
• Experience with real-time streaming architectures and data governance.

Responsibilities

• Design, build, and optimize scalable data pipelines for high throughput and low latency.
• Develop data warehouse/lakehouse architectures for large volumes of structured and unstructured data.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate requirements into scalable solutions.
• Implement data quality, testing, monitoring, and alerting frameworks.
• Promote DataOps practices, CI/CD, IaC, and secure data platform governance.

Skills

Python

SQL

Advanced English

Tools

Apache Spark

PySpark

Airflow

Delta Lake

Snowflake

AWS (S3, Glue, Athena, Lambda)

Job description

Coderio is seeking a Senior Data Engineer to design and build scalable data platforms handling financial and transactional data. The candidate will leverage Python, SQL, Apache Spark, Delta Lake, and AWS to deliver production-grade pipelines and data solutions.

You will collaborate with Data Scientists, Software Engineers, and Product Managers to drive data strategy while ensuring data quality, governance, and security across environments. Remote-friendly with international team collaboration.