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 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 home ownership across the full mortgage lifecycle, while driving innovation, operational excellence, and long-term value in a dynamic, results-oriented environment.

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 is for a high-discipline engineer who “raises the floor” of the team’s technical standards, with a strong focus on infrastructure, streaming, and production reliability. 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 act as a system designer, not a ticket executor, contributing to architecture decisions and long-term platform evolution. 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.

• 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, Num Py, SQL Alchemy, PySpark, and related tools.
• Architect and implement cloud-native data solutions leveraging AWS services such as Lambda, Glue, Step Functions, S3, Event Bridge, and Kinesis, with strong emphasis on AWS Batch and streaming with 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, with a focus on high-throughput streaming systems.
• Manage infrastructure using Infrastructure as Code (IaC) tools such as Cloud Formation, CDK, or Terraform, with AWS CDK as the primary and preferred framework.
• Containerize and deploy services using Docker and orchestrate workloads with ECS or Kubernetes.
• Establish Data Ops 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, and actively participate in architecture and design reviews.

• 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…