Remote Senior Data Engineer — Scalable Platforms

Bionic Talent; Buenos Aires; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

100% remote

Long‑term commitment

Strategic, high-visibility role

Collaborative international team

Career development

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 work with Python, SQL, Apache Spark, and AWS to implement modern data architectures.

The role involves collaborating with cross-functional teams, mentoring junior engineers, and ensuring data quality, governance, and security across the data stack. This is a remote-friendly, international-team position based in Latin America.

Qualifications

• 5+ years of experience in Data Engineering, Big Data, or related software roles.
• Strong proficiency in Python and SQL for complex data processing and software development.
• Hands-on experience with Spark/PySpark, Delta Lake, and modern lakehouse architectures.
• Strong AWS data services experience (S3, Glue, Athena, Lambda, etc.).
• Experience with data orchestration/warehousing tools (Airflow, Snowflake, Redshift, BigQuery) and DataOps practices.

Responsibilities

• Design, build, and maintain high-throughput batch and streaming pipelines for financial data.
• Design and optimize cloud data warehouses and lakehouse architectures for massive data volumes.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate needs into scalable solutions.
• Implement data quality frameworks, automated testing, monitoring, and alerting for data integrity and SLAs.
• Drive DataOps adoption including CI/CD, IaC, and workflow automation.

Skills

Python

Apache Spark

SQL

AWS

Data engineering

Tools

Apache Airflow

Snowflake

Redshift

BigQuery

dbt

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 work with Python, SQL, Apache Spark, and AWS to implement modern data architectures.

The role involves collaborating with cross-functional teams, mentoring junior engineers, and ensuring data quality, governance, and security across the data stack. This is a remote-friendly, international-team position based in Latin America.