Senior Data Platform Engineer (Python/AWS) - Finance

About Truelogic

At Truelogic, we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Our client is a leading publicly traded financial services company specializing in the U.S. mortgage market, operating a comprehensive end-to-end platform that supports loan origination, servicing, and investment management. With a strong, people-centered culture and a unified mission, the organization works collaboratively to help millions of individuals achieve homeownership across the full mortgage lifecycle, while driving innovation, operational excellence, and long-term value in a dynamic, results-oriented environment.

Job Summary

The Senior Data Platform Engineer – Python/AWS Specialist is responsible for designing, building, and operating enterprise-grade data pipelines that support critical business functions such as pricing analytics, trading systems, hedging models, and pooling operations. This role focuses on production-ready Python solutions and AWS-native architectures, ensuring scalable, reliable, and high-performance data platforms. The engineer is expected to apply strong software engineering principles, lead complex ETL/ELT and orchestration initiatives, and contribute to event-driven and cloud-native data architectures in a regulated financial environment.

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.

Qualifications and Job 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.

What We Offer

• 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.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!