Senior Engineer, Invest Tech

1101 Invesco IT Services; Downers Grove (IL); On-site; USD 135,000 - 145,000; Full time

Job summary

1101 Invesco IT Services in Downers Grove is seeking a Senior Engineer to design and support capabilities for the Invesco ETF platform. You will work collaboratively with various teams to enhance performance and scalability of technology-driven solutions.

The ideal candidate will have experience in Python, SQL, and modern data engineering principles, and will be expected to comply with office workplace policies.

The position offers a competitive salary range of $135,000 - $145,000 per year.

Qualifications

• 3+ years of hands-on experience in software engineering or data engineering.
• Experience with data processing and APIs.
• Daily use of AI tools for coding and documentation.

Responsibilities

• Design, build, and maintain data engineering workflows.
• Implement and support distributed, event-driven architectures.
• Collaborate closely with investment teams.

Skills

Python programming

SQL experience

Data engineering principles

Cloud-native development (AWS)

CI/CD and DevOps practices

AI tools integration

Education

Bachelor’s degree in Computer Science or related field

Tools

PostgreSQL

SQL Server

Kafka

Job description

Job Description

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. The role partners 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 such as dashboards and portfolio management utilities. The engineer modernizes platform architectures while improving data pipelines, system reliability, and development standards. The position requires a hands‑on mindset, strong ownership, and collaboration across a global team.

Responsibilities

• 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 (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

• 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.
• 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 (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 related advanced degrees from a top‑tier institution preferred. CFA, CPA, CIPM, CAIA, and/or FRM preferred but not required.

Compensation

Salary range for this position in Downers Grove, IL is $135,000 - $145,000 per year. Total compensation includes salary and incentive pay and varies based on skills, experience and location.

Workplace Model

Employees are expected to comply with Invesco’s workplace policy, spending at least four full days each week working in an Invesco office.

Equal Opportunity Statement

Invesco is 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.