Python Developer (Downers Grove)

Location: : Downers Grove, IL (Chicago area) On-site at the client's office3 days/week – Work from client office Mandatory- Investment Platform (ETF) either investment or ETF knowledge is a MUST- USAA leading global investment management organization is modernizing business-critical ETF and investment analytics applications. Many of these tools were originally built by business teams in Python and Excel. The work is to turn them into resilient, production-grade applications, in close collaboration with portfolio managers and front-office users.

Team: A small, hands-on engineering team led by a Lead Python Engineer. You will work alongside the client's internal engineering team and directly with business stakeholders. There is limited BA support.

Position overview: A Senior Python Engineer who writes production code every day. You will build new components and refactor business-built tools into well-engineered applications. You will work directly with portfolio managers to understand how the tools are used and what must not break. This is a 100% hands-on role, not advisory or architectural.

Requirements: 5+ years of hands-on, production Python development. Python is the main language in your current role. ETF or investment front-office experience (asset management, investment banking, capital markets). At minimum, you have worked directly with portfolio managers or traders. Experience modernizing legacy or business-built applications. Strong SQL and experience with cloud platforms (AWS preferred).API design and integration, automated testing, CI/CD, Git. You gather requirements directly from business users and communicate clearly with non-technical stakeholders. Willing to work on-site in Downers Grove 2-3 days/week.

Nice to have: Fixed income ETFs, portfolio management or investment analytics. Aladdin, BNY or comparable investment platforms. Snowflake, Redshift, Databricks or BigQuery. AI-enabled development, agentic workflows, AI-assisted SDLC.

Responsibilities: Design, develop and maintain production-grade Python applications and APIs. Refactor and modernize Python/Excel tools built by business teams: add tests, structure, security and observability. Work directly with portfolio managers and front-office users to clarify requirements and validate results. Build data-intensive and analytics features on SQL and cloud data platforms. Contribute to CI/CD, automated testing and code reviews. Apply AI-assisted development practices where they improve speed and quality.