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 experience with modern CI/CD and DevOps practices.
• Experience with AWS services (e.g., Lambda, S3, Step Functions, Fargate, Aurora, Terraform) preferred.
• Experience designing scalable systems and APIs for data-delivery use cases.
• Experience working with structured and unstructured datasets.

Skills / Other Personal Attributes Required:

• Ability to work with ambiguity-imperfect data, evolving requirements, and conceptual model logic-and convert them into reliable technical solutions.
• Strong analytical, debugging, and problem-solving skills.
• Highly self-motivated and capable of taking ownership with minimal supervision.
• Strong written and verbal communication skills, including documentation.
• Enthusiasm for challenging, thought-provoking engineering work with a desire to learn and grow.
• Ability to manage multiple tasks and priorities effectively.
• Positive, team-oriented attitude and willingness to collaborate.
• Ability to work effectively under pressure and meet tight deadlines.
• Strong interpersonal skills and willingness to listen and incorporate feedback.
• Structured, disciplined approach to engineering with high attention to detail.
• Adaptability-comfortable with shifting priorities and evolving business needs.
• Commitment to maintaining up-to-date knowledge of relevant technologies and industry best practices.
• Ability to work in a global, multicultural environment.

Sr. Engineer-1

The salary range for this position in Atlanta, GA is $135,000 - $145,000 Base/year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.