Elevate Your Career

Work where your ideas have impact

Allspring Global Investments™ is a leading independent asset management firm that offers a broad range of investment products and solutions designed to help meet clients' goals. At Allspring, our vision is to inspire a new era of investing that pursues both financial returns and positive outcomes. With decades of trusted experience propelling us forward, we strive to build portfolios aimed at generating successful outcomes for our clients. We do this through the independence of thought that powers our investment strategies and by bringing a renewed approach to look around the corner to unlock what's possible.  Allspring is a company committed to thoughtful investing, purposeful planning, and the desire to deliver outcomes that expand above and beyond financial gains. For more information, please visit  About Us - Allspring Global Investments.

At Allspring, unique views inspire us. We leverage the diversity of people, ideas, and skills to help our clients pursue their financial goals. We strive to attract and retain a diverse talent pool that enables us to better serve our global client base. Intentionally fostering a diverse and inclusive culture allows us to empower innovation, productivity, and engagement. It’s also essential for elevating the experience of our clients as well as the communities in which we operate. Thank you for considering Allspring as you explore the next step in your career journey.

Allspring Global Investments is looking for a skilled and experienced Python Engineer to join the Investor Enablement team. As part of a firmwide initiative to modernize investment technology platforms and data solutions, you will design, develop, and support enterprise-grade Python applications that enable investment, operations, and technology teams across the organization.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.  

Location(s): Milwaukee, WI

Solution Development
• 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.

Data Engineering & Analytics
• 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.

Maintenance and Support
• Monitor and maintain production applications.
• Troubleshoot application, integration, and data issues.
• Implement performance tuning and optimization.
• Participate in incident response and continuous improvement.

SDLC
• 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.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Physics, or 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+ with strong OOP 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 – ECS Tasks, EC2, Lambda, IAM roles, Monitoring
• CI/CD tools such as Jenkins.
• Testing frameworks including pytest.
• 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. 
• Communicate effectively with colleagues, clients, and business partners in person and electronically as needed. 
• Engage in regular in-person interaction and collaboration with team members and other stakeholders. 
• Work effectively in a professional office environment with ongoing collaboration, activity, and shifting priorities. 
• Maintain productivity and focus while balancing multiple tasks and interruptions common in an in-person business setting.

Preferred Qualifications

• 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.

Base Pay Range: $120,000 - $130,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location.  In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

#LI-JD1

#LI-Hybrid

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status