Senior Data Platform Engineer (Python/AWS) - Finance

TL;DR

Senior Data Platform Engineer (Python/AWS): Leads the design, development, and management of enterprise data pipeline infrastructure for financial services platform with an accent on Python-based solutions and AWS cloud services. Focus on architecting scalable ETL/ELT pipelines, building RESTful APIs and microservices, and implementing real-time and batch processing systems for pricing analytics, trading, hedging, and pooling operations.

Location: 100% Remote (São Paulo listed)

Company

Leading nearshore staff augmentation provider headquartered in New York with 600+ tech professionals based in Latin America partnering with U.S. companies on digital transformation projects.

What you will do

• Architect and maintain Python applications using OOP and enterprise design patterns.
• Build RESTful APIs and microservices using FastAPI or Flask.
• Process data with Pandas, NumPy, SQLAlchemy, and PySpark.
• Implement AWS solutions using Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
• Manage deployments with CloudFormation, CDK, or Terraform; orchestrate with Docker, ECS, or Kubernetes.
• Design ETL/ELT pipelines using Airflow, Prefect, or AWS Step Functions; build real-time and batch systems.
• Set up CI/CD workflows, automated testing with pytest, and data validation.

Requirements

• 5+ years software development, including 4+ years production Python (async programming).
• 3+ years hands-on with data-centric AWS services.
• Deep understanding of ETL/ELT patterns and modern data architecture.
• Proven ability to explain complex technical concepts to business stakeholders and project managers.

Culture & Benefits

• 100% remote work with autonomy to manage your time focusing on results.
• Highly competitive USD compensation.
• Paid time off policies for well-being.
• Work on high-impact projects with top U.S. companies and senior talent.
• Culture prioritizing work-life balance, engagement activities, and multicultural team in 25+ countries.