Senior Data Platform Engineer, Python, AWS - Finance
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Job Description
Senior Data Platform Engineer developing Python solutions for financial services. Architecting scalable data platforms in a remote setting supporting mortgage market operations.
Responsibilities:
- Design, develop, and maintain production-grade Python applications using OOP principles and enterprise design patterns.
- Build and integrate RESTful APIs and microservices using frameworks such as FastAPI or Flask.
- Develop and optimize complex ETL/ELT data pipelines using Pandas, NumPy, SQLAlchemy, PySpark, and related tools.
- Architect and implement cloud-native data solutions leveraging AWS services such as Lambda, Glue, Step Functions, S3, EventBridge, and Kinesis.
- Design and operate scalable orchestration workflows using Airflow, Prefect, or AWS Step Functions.
- Implement event-driven and serverless architectures for both real-time and batch data processing.
- Manage infrastructure using Infrastructure as Code (IaC) tools such as CloudFormation, CDK, or Terraform.
- Containerize and deploy services using Docker and orchestrate workloads with ECS or Kubernetes.
- Establish DataOps best practices, including CI/CD pipelines, automated testing with pytest, and data quality validation using Great Expectations.
- Collaborate with technical and non-technical stakeholders to translate business requirements into robust data solutions.
Requirements:
- Senior-level Python engineer with a strong production mindset and experience delivering reliable, scalable systems.
- 5+ years of software engineering experience, including 4+ years of hands-on, production-grade Python development (including async programming).
- Proven experience designing and implementing ETL/ELT pipelines and modern data architectures.
- Strong hands-on experience with AWS data and orchestration services in real-world production environments.
- Experience with asynchronous Python, event-driven systems, and microservices architectures.
- Practical knowledge of Infrastructure as Code and container-based deployments.
- Familiarity with data warehousing solutions such as Snowflake or SQL Server.
- Background in Financial Services or Mortgage domains, including exposure to regulatory reporting and risk management data.
- Strong communication skills, with the ability to explain complex technical concepts to business and project stakeholders.
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
Benefits:
- 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.
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