Senior Engineer

Position: Senior Engineer-1
## Senior Engineer-1

Apply locations:
Atlanta, Georgia:
Boston, Massachusetts:
Houston, Texastime type:
Full time posted on:
Posted Todayjob requisition :
R-13678#
** About Invesco
** As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.#

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** What’s in it for you?
** Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
* Flexible paid time off
* Hybrid work schedule
* 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
* Health & wellbeing benefits
* Parental Leave benefits
* Employee stock purchase plan# #
** Job Description**##
** About the Team:
** You’ll be joining the
** Investments Technology
** organization supporting the
** Solutions business unit**, where we build and maintain platforms that empower portfolio managers, quantitative researchers, analysts, and client engagement teams.

You will primarily support the
** ECOS application and the broader model delivery platform**, which is responsible for transforming, validating, and delivering investment model content to internal and external destinations. The team is known for its deep technical expertise, strong engineering culture, and commitment to reliability, innovation, and high‐quality delivery.##
*
* About the Role:

** We are seeking a
** Senior Engineer, Investments Technology**, to design, enhance, and support capabilities within the
** model delivery platform**, including ECOS. This role will partner closely with quantitative research teams, model owners, and downstream consumers to ensure accurate, timely, and scalable delivery of model content across multiple channels (e.g., S3, FTP, email, websites, and internal systems).This individual will work in a fast‐paced environment requiring strong data engineering capabilities, attention to detail, and a mindset focused on reliability and automation.

The role reports to the
** Director, Investments Technology
** supporting the Solutions business unit.##
** Responsibilities of the Role:
*** Designing, building, and maintaining data‐engineering workflows that support model delivery across multiple destinations.
* Developing and extending the ECOS platform components responsible for ingesting, transforming, validating, and routing model content.
* Building robust SQL Server/T‐SQL–based logic for data processing, validation, auditing, and error handling.
* Implementing scalable Python services, microservices, and automation tools supporting the end‐to‐end delivery lifecycle.
* Designing and operating CI/CD pipelines for model delivery services.
* Ensuring data quality, completeness, and traceability through proper logging, monitoring, and operational tooling.
* Working closely with quantitative researchers and model owners to improve delivery workflows and enhance platform usability.
* Experimenting with new tools, design patterns, and technologies to continuously improve reliability, performance, and maintainability.
* Participating in on‐call rotation or escalation support for production model delivery processes (as needed).##
** Requirements of the Role:
*** Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
* ** 3+ years of hands‐on experience
** in software engineering or data engineering (financial services or asset management experience preferred).
* ** 3+ years of SQL Server and T‐SQL experience**, including complex query design, stored procedures, performance tuning, and ETL workflows.
* ** 3+ years of Python experience**, including data processing, service development, or automation frameworks.
* Strong experience with data engineering concepts (data modeling, data pipelines, validation frameworks, lineage, error handling).
* Hands‐on…