Python Developer

KTek Resourcing; Downers Grove (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

KTek Resourcing LLC is assisting a client in Downers Grove, IL to hire a Senior Python Engineer for 2–3 days/week on-site at the client office in the Chicago area. The role focuses on building production-grade Python applications and modernizing legacy tools used by portfolio managers and front-office staff.

You will join a small engineering team led by a Lead Python Engineer, collaborating directly with business stakeholders, PMs and traders.

Qualifications

• 5+ years of hands-on, production Python development.
• ETF or investment front-office experience 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.
• Ability to gather requirements directly from business users and communicate with non-technical stakeholders.
• Willing to work on-site in Downers Grove 2-3 days/week.

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 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.

Skills

Python programming

ETF front-office experience

SQL

AWS

API design

CI/CD

Git

Tools

Snowflake

Redshift

Databricks

BigQuery

Job description

Downers Grove, IL (Chicago area) On-site at the client’s office

3 days/week – Work from client office

Mandatory- Investment Platform (ETF) either investment or ETF knowledge is a MUST- USA

A 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.