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# Sr. Python Engineer

- **Company:** Greystar Real Estate Partners, LLC
- **Location:** Downers Grove, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, BigQuery, Code Review, Continuous Integration, Python (Programming Language), Microsoft Office, Systems Development Life Cycle, Cloud Services, Standard Sql, SQL Databases, Snowflake, Agentic-AI, Git, Fastapi, Production Code, Api Design, Code Restructuring, Amazon Redshift, Databricks
- **Published:** October 26, 2026
- **Apply:** https://www.dice.com/job-detail/b92e6d85-b3b6-4b92-86b1-e5e4cea60b82

## About the Role

* 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.

## Description

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., * 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.