Senior Engineer-1

About the role

The Senior Engineer, Investments Technology role is part of the Investments Technology organization supporting the Solutions business unit. 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.

Responsibilities

• 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

• 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.
• Positive, team-oriented attitude and willingness to collaborate.
• Able to manage multiple tasks and priorities effectively.
• 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.

Pay

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.

Schedule

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.