Senior Data Engineer; 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.

Top national mortgage lender with over 4 million lifetime customers. Whether you are new to the home loan process or an experienced buyer, dedicated to offering competitive rates and superior service.

Being an online mortgage lender means we can focus on the needs of our customers rather than maintaining a network of branches and banking products.

Our mission is to build a foundation of home ownership by enabling our customers to achieve and sustain their aspirations of home.

We are seeking a Senior AWS Developer to join a mature, production-grade cloud environment and take ownership of critical data integration pipelines. This role is a backfill for a long-tenured senior developer, and the successful candidate must be able to hit the ground running with minimal ramp-up time.

This is a hands-on senior engineering role focused entirely on AWS-native development. While some pipelines deliver data into Salesforce Marketing Cloud, the work itself is 100% AWS-based. Salesforce Marketing Cloud is a downstream consumer, not the system of record.

You will lead the design, development, availability, and supportability of custom-built ETL pipelines using AWS services such as Lambda, Glue, Dynamo

DB, S3, and Event Bridge, with development primarily in Python.

• Design, build, and maintain custom AWS-native data pipelines using AWS Lambda, AWS Glue, S3, Dynamo
  
  DB, and Event Bridge.

• Develop and support ETL processes that push structured and unlayered data to downstream systems, including Salesforce Marketing Cloud.

• Lead the technical design and availability of, ensuring solutions are scalable, reliable, and fully supported by AWS-native features.

• Implement logging, monitoring, and error-handling to ensure operational visibility and production stability.

• Write clean, efficient, and maintainable Python code following best practices and internal standards.

• Collaborate with other AWS developers on architecture decisions, implementation, and delivery.

• Participate in code reviews, providing technical guidance and ensuring high-quality engineering standards.

• Assist in deployment planning and support production releases.

• Proactively improve existing systems, pipelines, and processes.

• Serve as a senior technical contributor and subject matter expert within the AWS development team.

• 5+ years of hands-on AWS development experience in production environments.

• Strong experience building custom ETL and data integration pipelines using:

• Strong AWS experience (Lambda, Glue, S3, Dynamo
  
  DB, Event Bridge)

• Proficient in Python for backend and data processing workloads.

• Experience designing systems with a focus on availability, reliability, logging, and operational support.

• Demonstrated ability to lead technical design and make architecture decisions in AWS.

• Experience integrating AWS services with external systems via APIs or event-driven architectures.

• Prior experience integrating AWS-based pipelines with Salesforce Marketing Cloud or similar marketing platforms (Deep Salesforce feature knowledge is not required).

• Strong understanding of AWS-native services and how they are supported and operated in production.

• Comfortable working in an environment where immediate ownership and productivity are…