Senior Data Engineer (Remote) - AWS, Spark Expert

Coderio; Rosario; Remote; ARS 106,019,000 - 166,601,000; Full time

Benefits offered by this job

100% remote

Long-term commitment

Strategic, high-visibility role

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial and transactional data. You will work with Python, SQL, Apache Spark, AWS, and modern data engineering architectures in a fast-paced, remote-friendly environment.

Responsibilities include designing high-throughput pipelines, scalable data warehouses/lakehouses, and collaborating with Data Scientists, Software Engineers, and Product Managers to deliver reliable

Qualifications

• 5+ years of Data Engineering or similar roles with production-grade data systems.
• Strong Python/SQL for data processing and software development; Scala/Java is a plus.

Responsibilities

• Design, build and maintain high-throughput data pipelines for financial data.
• Scale cloud data warehouse and lakehouse architectures for massive data volumes.
• Collaborate with data scientists, engineers and product managers to translate needs into data solutions.

Skills

Python

SQL

Apache Spark

AWS

Data engineering

Data Mesh

Scala/Java

English proficiency

Tools

Delta Lake

Apache Airflow

Snowflake

Redshift

BigQuery

Kinesis

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms supporting large volumes of financial and transactional data. You will work with Python, SQL, Apache Spark, AWS, and modern data engineering architectures in a fast-paced, remote-friendly environment.

Responsibilities include designing high-throughput pipelines, scalable data warehouses/lakehouses, and collaborating with Data Scientists, Software Engineers, and Product Managers to deliver reliable