Senior Data Engineer: Remote, Scalable Fintech Data

Coderio; Argentina; Remote; ARS 181,906,000 - 272,860,000; Full time

Benefits offered by this job

100% remote

Career growth opportunities

Collaborative international team

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for large financial datasets. You will work with Python, SQL, Spark, and AWS to implement modern lakehouse architectures.

The role emphasizes DataOps, data governance, and collaboration with data scientists, software engineers, and product managers in a remote-friendly setup across LATAM. A strong background in high-volume data systems is required.

Qualifications

• 5+ years in Data Engineering or related roles with production-grade data systems.
• Strong Python and SQL skills for data processing and software development.
• Experience with Spark/PySpark, Delta Lake, and lakehouse architectures.
• Proficiency with AWS data services (S3, Glue, Athena, EventBridge, Lambda).
• Experience with Airflow or similar DAG-based tools and data warehousing platforms (Snowflake, Redshift, BigQuery).
• Real-time streaming design using Kafka or Kinesis; familiarity with dbt.

Responsibilities

• Design, build, and maintain high-throughput batch and streaming data pipelines for financial/ transactional data.
• Scale cloud data warehouse/lakehouse architectures handling large data volumes.
• Collaborate with Data Scientists, Engineers, and Product Managers to translate needs into scalable data solutions.
• Implement data quality, monitoring, and alerting ensuring data integrity and SLAs.
• Drive DataOps adoption including CI/CD, workflow automation, and IaC for data systems.
• Champion data governance, privacy and security (GDPR/LGPD) across data layers.
• Mentor junior/mid-level Data Engineers and promote engineering best practices.

Skills

Python

SQL

Apache Spark

AWS

Delta Lake

Airflow

dbt

Kafka

Kinesis

Data Mesh

English

Tools

Snowflake

Databricks

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms for large financial datasets. You will work with Python, SQL, Spark, and AWS to implement modern lakehouse architectures.

The role emphasizes DataOps, data governance, and collaboration with data scientists, software engineers, and product managers in a remote-friendly setup across LATAM. A strong background in high-volume data systems is required.