Senior Data Engineer - Ingestion & Cloud Connectors (Remote)

Xktalent Inc. - Rimutee; Buenos Aires; Remote; ARS 1,800,000 - 3,000,000; Full time

Benefits offered by this job

100% remote

Job summary

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms handling large volumes of financial data. You will develop high-throughput pipelines, data warehouses, and lakehouse architectures using Python, SQL, Spark, and AWS.

This role requires hands-on experience with modern data tooling and DataOps practices. The position is 100% remote with residency restrictions for Argentina, Brazil, or Uruguay.

Qualifications

• 5+ years of experience in Data Engineering or related software engineering roles with production-grade data systems.
• Strong proficiency in Python and SQL for complex data processing and software development; Scala or Java is a plus.
• Hands-on experience with Apache Spark/PySpark, Delta Lake, and modern lakehouse architectures.
• Strong expertise in AWS data services (S3, Glue, Athena, EventBridge, Firehose, Lambda).
• Experience with data orchestration and warehousing technologies (Airflow, Snowflake, Redshift, BigQuery).
• Experience designing real-time streaming architectures using Kafka or Kinesis and familiarity with dbt.

Responsibilities

• Design, build, and maintain high-throughput, low-latency batch and streaming data pipelines for financial transactions.
• Scale and optimize cloud data warehouse and lakehouse architectures for massive data volumes.
• Collaborate with Data Scientists, Software Engineers, and Product Managers to translate needs into scalable data solutions.
• Implement data quality frameworks, automated testing, monitoring, and alerting to ensure data integrity and compliance.
• Drive DataOps practices including CI/CD, IaC, and workflow automation; promote data governance and security standards.

Skills

Python

SQL

Apache Spark

AWS

Data engineering

DataOps

English proficiency

Tools

Apache Airflow

Snowflake

dbt

AWS Kinesis

Databricks

Job description

Coderio is seeking a Senior Data Engineer to design, build, and optimize scalable data platforms handling large volumes of financial data. You will develop high-throughput pipelines, data warehouses, and lakehouse architectures using Python, SQL, Spark, and AWS.

This role requires hands-on experience with modern data tooling and DataOps practices. The position is 100% remote with residency restrictions for Argentina, Brazil, or Uruguay.