Senior Data Engineer — Remote, Scalable Data Pipelines

Meeruai; Buenos Aires; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

100% remote

Career development

Collaborative international team

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for large volumes of financial data. Strong Python, SQL, Spark, AWS expertise and modern data architectures are essential.

You will collaborate with Data Scientists, Software Engineers, and Product Managers to deliver reliable data solutions, enforce data quality, and advance DataOps practices including CI/CD and IaC. Remote-friendly with residency in Argentina, Brazil, or Uruguay.

Qualifications

• 5+ years of experience in data engineering or related software roles.
• Strong programming in Python and SQL for data processing and analytics.
• Hands-on with Spark/PySpark, Delta Lake, and lakehouse architectures.
• Proven AWS data services experience (S3, Glue, Athena, Lambda, etc.).
• Experience with Airflow and or similar DAG-based tools; knowledge of Snowflake/BigQuery/Redshift.
• Knowledge of DevOps/DataOps practices and IaC fundamentals.

Responsibilities

• Design, build, and maintain high-throughput data pipelines for financial data.
• Develop cloud data warehouse/lakehouse architectures at scale.
• Collaborate with Data Scientists, Software Engineers, and Product Managers.
• Enforce data quality, monitoring, and alerting; ensure data integrity and SLAs.
• Drive DataOps adoption, including CI/CD, workflow automation, and IaC.
• Mentor junior engineers and promote best practices and modern patterns.

Skills

Python

SQL

Apache Spark

AWS

DataOps

Git & CI/CD

dbt

Tools

Airflow

Snowflake

Redshift

BigQuery

Kinesis

Terraform

Docker

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for large volumes of financial data. Strong Python, SQL, Spark, AWS expertise and modern data architectures are essential.

You will collaborate with Data Scientists, Software Engineers, and Product Managers to deliver reliable data solutions, enforce data quality, and advance DataOps practices including CI/CD and IaC. Remote-friendly with residency in Argentina, Brazil, or Uruguay.