Senior Data Engineer — AWS, Spark & Lakehouse (Remote)

Pyyne Digital; Buenos Aires; Remote; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Remote work

Career growth

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial data. You will leverage Python, SQL, Apache Spark, and AWS to deliver production-grade systems in a fast-paced environment.

You will mentor junior engineers, champion DataOps, and help enforce data governance and security standards across the stack. This role permits 100% remote work within Argentina, Brazil, or Uruguay and offers strong collaboration with an

Qualifications

• 5+ years in Data Engineering or related roles.
• Experience with high-volume production data systems.

Responsibilities

• Design, build, and maintain high-throughput data pipelines.
• Design scalable cloud data warehouse and lakehouse architectures.
• Collaborate with data scientists, engineers, and product managers.
• Implement data quality, monitoring, and alerting.

Skills

Python

SQL

Apache Spark

AWS

Data orchestration

DevOps/DataOps

English communication

Education

Bachelor's degree in a related field

Tools

Delta Lake

Airflow

Snowflake/AWS Redshift

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial data. You will leverage Python, SQL, Apache Spark, and AWS to deliver production-grade systems in a fast-paced environment.

You will mentor junior engineers, champion DataOps, and help enforce data governance and security standards across the stack. This role permits 100% remote work within Argentina, Brazil, or Uruguay and offers strong collaboration with an