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# Senior Python Engineer, Investment Platform (Chicago)

- **Company:** DataArt Solutions, Inc.
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, BigQuery, Code Review, Continuous Integration, Database Queries, Python (Programming Language), Microsoft Office, Systems Development Life Cycle, Cloud Services, SQL Databases, Snowflake, Agentic-AI, Git, Fastapi, Api Design, Code Restructuring, Amazon Redshift, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=607f43a415031656

## About the Role

* 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.

 * Nice to have: 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.

## Description

* 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.