Senior Data Platform Engineer (Python/AWS)

TL;DR

Senior Data Platform Engineer (Python/AWS): Designing and managing enterprise data pipeline infrastructure for a US mortgage financial services platform with an accent on Python-based solutions and AWS cloud services. Focus on building scalable ETL/ELT pipelines, RESTful APIs, and real-time data processing systems.

Location: Remote (LatAm)

Company

A leading provider of nearshore staff augmentation services partnering with U.S. companies to deliver digital transformation solutions.

What you will do

• Architect Python applications using OOP and enterprise design patterns.
• Build RESTful APIs and microservices using FastAPI or Flask.
• Design scalable ETL/ELT pipelines using Airflow, Prefect, or AWS Step Functions.
• Implement cloud solutions using Lambda, Glue, S3, EventBridge, and Kinesis.
• Manage reproducible deployments via CloudFormation, CDK, or Terraform.
• Orchestrate services using Docker, ECS, or Kubernetes.

Requirements

• 5+ years in software development with 4+ years of production Python experience, including async programming.
• 3+ years of hands-on experience with data-centric AWS services.
• Must be based in Latin America.
• Deep understanding of ETL/ELT patterns and modern data architecture.
• Proven ability to explain complex technical concepts to business stakeholders.
• Experience with MDM (Master Data Management).

Culture & Benefits

• 100% remote work flexibility.
• Highly competitive compensation paid in USD.
• Paid time off policies for well-being and recharge.
• High degree of autonomy and results-oriented work environment.
• Opportunity to work with industry-leading U.S. companies.