Python Engineer

Allspring Global Investments Holdings • Milwaukee, WI

18h • Hybrid

About The Position

Allspring Global Investments is seeking a skilled Python Engineer to join its Investor Enablement team. As part of a firmwide initiative to modernize investment technology platforms and data solutions, this role designs, develops, and supports enterprise-grade Python applications that enable investment, operations, and technology teams across the organization. The role follows a hybrid working model and requires working in the office four days per week in Milwaukee, Wisconsin.

The position involves developing scalable Python applications and services, APIs, integrations, analytical and reporting solutions, and data pipelines. It also includes production monitoring and support, performance optimization, incident response, and participation in Agile delivery and automated testing and deployment. The engineer collaborates with business analysts, project managers, developers, and other stakeholders to deliver technical solutions and maintain documentation.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Physics, or a related discipline.
• 3–5 years of professional software development experience with Python.
• Experience designing enterprise-grade Python applications.
• Experience building APIs, data processing solutions, and integration services.
• Experience working within Agile delivery teams.
• Python 3.10+ skills, including strong object-oriented programming and design patterns experience.
• Experience building multi-threaded and multi-process applications.
• Expertise with Pandas and NumPy.
• Experience with Matplotlib, Plotly, Bokeh, and/or Streamlit.
• Strong SQL skills with PostgreSQL, Microsoft SQL Server, and Snowflake.
• Familiarity with NoSQL databases.
• Experience building and consuming RESTful APIs.
• FastAPI experience.
• Experience with Swagger/OpenAPI and Postman.
• AWS familiarity, including ECS Tasks, EC2, Lambda, IAM roles, and monitoring.
• Experience with CI/CD tools such as Jenkins.
• Experience with testing frameworks including pytest.
• Experience with Git and collaborative development workflows.
• Ability to work independently and collaboratively in a cross-functional environment.
• Ability to work at a computer and use standard business software for extended periods during the workday.
• Ability to communicate effectively with colleagues, clients, and business partners in person and electronically as needed.
• Ability to engage in regular in-person interaction and collaboration with team members and other stakeholders.
• Ability to work effectively in a professional office environment with ongoing collaboration, activity, and shifting priorities.
• Ability to maintain productivity and focus while balancing multiple tasks and interruptions common in an in-person business setting.

Nice To Haves

• Knowledge of quantitative finance concepts, including risk metrics, performance attribution, and valuation models.
• Experience building ETL pipelines for market and reference data.
• Knowledge of Docker and Kubernetes.
• Experience integrating with Microsoft Power Platform, Power BI, or Dataverse.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple priorities.
• Strong attention to detail and commitment to quality.

Responsibilities

• Design, develop, and implement scalable Python-based applications and services.
• Build high-performance, multi-threaded and multi-process applications.
• Develop and maintain RESTful APIs and integration services.
• Create analytical and reporting solutions using Streamlit, Plotly, Bokeh, and Matplotlib.
• Integrate applications with cloud services and enterprise systems.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Design and optimize data models and database structures.
• Design and implement data ingestion, transformation, and distribution pipelines.
• Process and analyze large datasets using Pandas and NumPy.
• Build monitoring and data quality controls.
• Support analytical and quantitative initiatives.
• Monitor and maintain production applications.
• Troubleshoot application, integration, and data issues.
• Implement performance tuning and optimization.
• Participate in incident response and continuous improvement.
• Participate in Agile/Scrum ceremonies and Jira tracking.
• Collaborate with business analysts, project managers, and developers.
• Develop automated testing and deployment pipelines.
• Create and maintain technical documentation.

Benefits

• Competitive compensation package may include participation in an incentive program linked to performance, such as annual discretionary bonus programs or other annual or non-annual incentive or sales plans.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level