Senior Engineer, Invest Tech

Invesco; Downers Grove (IL); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Flexible paid time off

Hybrid work schedule

401(K) matching

Health & wellbeing benefits

Parental leave benefits

Employee stock purchase plan

Job summary

Invesco is seeking a Senior Engineer, Investment Technology to design and support capabilities for the ETF platform. This role focuses on building robust applications and workflows while improving system reliability and data pipelines.

The ideal candidate will have a background in software and data engineering, specifically in Python and SQL, and will collaborate with global teams to modernize platform architectures. Full-time position includes various benefits including flexible paid time off and a hybrid work schedule.

Qualifications

• 3+ years of hands-on experience in software engineering or data engineering.
• Experience with cloud-native development (AWS) and containerized environments.
• Strong understanding of data engineering principles.

Responsibilities

• Design, build, and maintain data engineering workflows and platform services.
• Develop and extend platform components for data ingestion and processing.
• Collaborate closely with investment teams to translate requirements into solutions.

Skills

Python

SQL

Data engineering

AI-assisted development

Cloud-native development

Education

Bachelor’s degree in Computer Science or related field

Tools

PostgreSQL

AWS

Kafka

Job description

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.

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 Role

We are seeking a Senior Engineer, Investment Technology to design, build, and support capabilities for the Invesco ETF platform, including applications and workflows that power portfolio construction, trading, analytics, and operational processes across Equities, Fixed Income, and Alternatives. This role will partner closely with portfolio managers, quantitative researchers, and business teams to deliver scalable, high‑performance solutions that support both technology‑owned platforms and business‑driven workflows (e.g., co‑developed tools such as dashboards and portfolio management utilities). The engineer will play a key role in modernizing the platform architectures while improving data pipelines, system reliability, and development standards. You will work in a fast‑paced environment requiring strong expertise in data engineering, application development, and distributed systems, with a focus on building resilient, production‑grade solutions and reducing operational risk. The role requires a hands‑on mindset, strong ownership, and the ability to collaborate across a global team.

Responsibilities of the Role

• AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.
• Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystem.
• Develop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systems.
• Build robust Python‑based services, APIs, and microservices supporting portfolio analytics, optimization workflows, and data pipelines.
• Design and optimize SQL‑based data processing (PostgreSQL, SQL Server), including complex queries, performance tuning, and large‑scale ETL workflows.
• Implement and support distributed, event‑driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution.
• Develop and maintain cloud‑native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).
• Design and operate CI/CD pipelines and deployment processes to ensure reliable and repeatable releases.
• Ensure data quality, auditability, and observability through logging, monitoring, lineage tracking, and validation frameworks.
• Collaborate closely with investment teams to translate portfolio construction, risk, and analytics requirements into scalable technical solutions.
• Continuously improve the platform through modern engineering practices, including testing, performance optimization, and AI assisted development.
• Participate in production support and on‑call rotation 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 Python experience, including data processing, APIs, or service‑based architecture.
• 3+ years of SQL experience (PostgreSQL, SQL Server, and/or Snowflake), including performance tuning and ETL workflows.
• AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.
• Strong understanding of data engineering principles (data modeling, pipelines, validation, lineage, error handling).
• Experience with cloud‑native development (AWS) and containerized environments.
• Familiarity with distributed systems and event‑driven architecture (e.g., Kafka, asynchronous processing).
• Experience with CI/CD, DevOps practices, and automated testing.
• Exposure to portfolio analytics, risk models, or investment workflows preferred.
• Strong problem‑solving skills and the ability to operate in a fast‑paced, high‑impact environment.

Formal Education

• Bachelor’s in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred.
• CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.

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.

Invesco’s culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non‑discrimination in employment.