Senior Data Engineer - Remote, AWS & Spark

Coderio | Software Company

Buenos Aires

Remote

ARS 90,873,000 - 151,455,000

Full time

14 days+

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Benefits offered by this job

100% remote
Long-term commitment
Strategic role
International team
Career development

Job summary

Coderio | Software Company in Buenos Aires seeks a Senior Data Engineer to design, build, and optimize scalable data platforms handling financial data. Proficiency in Python, SQL, Apache Spark, AWS, and modern data architectures is essential.

You will collaborate with data scientists and engineers, implement DataOps, CI/CD, and governance, and mentor junior engineers. This remote-first role offers opportunities to influence strategic initiatives across international teams.

Qualifications

  • 5+ years of experience in Data Engineering or related software roles, with production-grade data systems.
  • Strong proficiency in Python and SQL for complex data processing and software development; Scala/Java is a plus.
  • Hands-on experience with Apache Spark/PySpark, Delta Lake, and lakehouse architectures; Data Mesh familiarity helpful.
  • Extensive AWS data services experience (S3, Glue, Athena, EventBridge, Firehose, Lambda).
  • Experience with Airflow or similar DAG-based tools and Snowflake/Redshift/BigQuery data warehouses.
  • Knowledge of DevOps/DataOps practices, Git, Docker, CI/CD pipelines, IaC, and cloud platforms (AWS/GCP).
  • Advanced English proficiency in technical and non-technical contexts.

Responsibilities

  • Design, build, and maintain high-throughput data pipelines to ingest and process financial transactions from global sources.
  • Scale and optimize cloud data warehouse and lakehouse architectures for massive data volumes.
  • Collaborate with Data Scientists, Software Engineers, and PMs to translate needs into scalable data solutions.
  • Implement data quality, testing, monitoring, and alerting to ensure data integrity and SLAs.
  • Drive DataOps adoption, including CI/CD, workflow automation, and Infrastructure as Code for data systems.
  • Champion data governance, privacy, and security standards (GDPR/LGPD).
  • Mentor junior and mid-level Data Engineers and promote engineering best practices.

Skills

Python
SQL
Apache Spark
AWS
DataOps
CI/CD
Data Mesh
English

Tools

Delta Lake
Airflow
Snowflake
Redshift
BigQuery
dbt
Kafka
Kinesis
Terraform
Docker
Git

Job description

Coderio | Software Company in Buenos Aires seeks a Senior Data Engineer to design, build, and optimize scalable data platforms handling financial data. Proficiency in Python, SQL, Apache Spark, AWS, and modern data architectures is essential.

You will collaborate with data scientists and engineers, implement DataOps, CI/CD, and governance, and mentor junior engineers. This remote-first role offers opportunities to influence strategic initiatives across international teams.

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