Architect and maintain Python applications using Object-Oriented Programming (OOP) and enterprise design patterns.
Build RESTful APIs and microservices using FastAPI or Flask.
Utilize frameworks like Pandas, NumPy, SQLAlchemy, and PySpark for sophisticated data processing.
Implement solutions using Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
Manage reproducible deployments via CloudFormation, CDK, or Terraform.
Deploy and orchestrate services using Docker, ECS, or Kubernetes.
Design scalable ETL/ELT pipelines using Airflow, Prefect, or AWS Step Functions.
Build real-time and batch processing systems using serverless and event-driven patterns.
CI/CD workflows, automated testing (pytest), and data validation

Software Experience: 5+ years in software development with 4+ years of dedicated production Python experience (including async programming).
AWS Expertise: 3+ years of hands-on experience with data-centric AWS services.
Architecture Knowledge: Deep understanding of ETL/ELT patterns and modern data architecture principles.
Communication: Proven ability to explain complex technical concepts to business stakeholders and project managers.

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Senior Data Platform Engineer, Python, AWS

Key skills