Senior Python Engineer, Investment Platform (Chicago)

DataArt; Dallas (TX); On-site; USD 140,000 - 160,000; Full time

Job summary

DataArt is seeking a Senior Python Engineer to build and refactor production-grade Python applications and APIs. You will collaborate with portfolio managers to ensure tools meet business needs, modernize existing Python/Excel tools, and deliver data-intensive analytics using SQL and cloud platforms.

This hands-on role requires on-site work in Downers Grove three days a week. The ideal candidate has 5+ years in production Python development, experience with ETFs or front-office analytics, strong

Qualifications

• 5+ years of hands-on experience in production Python development.
• ETF or investment front-office experience with portfolio managers or traders.
• Experience modernizing legacy or business-built applications.
• Strong SQL skills and experience with cloud platforms (AWS preferred).
• Experience with API design and integration, automated testing, CI/CD, and Git.
• Ability to gather requirements directly from business users and communicate clearly with non-technical stakeholders.
• Willingness to work on-site in Downers Grove 3 days/week.
• Experience with fixed-income ETFs, portfolio management, or investment analytics.
• Experience with Aladdin, BNY, or comparable investment platforms.
• Experience with Snowflake, Redshift, Databricks, or BigQuery.
• Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.

Responsibilities

• Design, develop, and maintain production-grade Python applications and APIs.
• Refactor and modernize Python/Excel tools built by business teams by adding 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 using 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

SQL

Git

APIs

CI/CD

Tools

Snowflake

Redshift

Databricks

BigQuery

Aladdin

Job description

We are looking for 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 an advisory or architectural role.

On-site at the client's office in Downers Grove, IL (Chicago area), 3 days/week

Duration: 12+ months

The estimated salary range for this position is $140,000 to $160,000 per year.

• Design, develop, and maintain production-grade Python applications and APIs.
• Refactor and modernize Python/Excel tools built by business teams by adding 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 using 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.

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

• Experience with fixed-income ETFs, portfolio management, or investment analytics.
• Experience with Aladdin, BNY, or comparable investment platforms.
• Experience with Snowflake, Redshift, Databricks, or BigQuery.
• Experience with AI-enabled development, agentic workflows, or AI-assisted SDLC.