Senior Data Platform Engineer (Python/AWS) - Finance - Remote

Overview

The Senior Data Platform Engineer – Python/AWS Specialist is responsible for designing, building, and operating enterprise-grade data pipelines that support critical business functions in a regulated financial environment.

In Short

• Design and maintain production-grade Python applications.
• Build RESTful APIs and microservices using FastAPI or Flask.
• Develop ETL/ELT data pipelines using Pandas, NumPy, and PySpark.
• Architect cloud-native solutions leveraging AWS services.
• Implement event-driven architectures for data processing.
• Manage infrastructure using Infrastructure as Code tools.
• Containerize services using Docker and orchestrate with ECS or Kubernetes.
• Establish DataOps best practices including CI/CD pipelines.
• Collaborate with stakeholders to translate business requirements into data solutions.
• Participate in architecture and design reviews.

Requirements

• 5+ years of software engineering experience with a focus on Python.
• Experience with ETL/ELT pipelines and data architectures.
• Strong hands-on experience with AWS services.
• Knowledge of asynchronous Python and microservices architectures.
• Practical knowledge of Infrastructure as Code and container deployments.
• Familiarity with data warehousing solutions.
• Background in Financial Services or Mortgage domains.
• Strong communication skills.
• Bachelor’s degree in Computer Science or related field.

Benefits

• 100% Remote Work with flexibility.
• Highly Competitive USD Pay.
• Paid Time Off policies for well-being.
• Autonomy in managing work time.
• Opportunities to work with Top American Companies.