Python Engineer

Allspring Global Investments Holdings, LLC • Milwaukee, WI

1d • $100,000 - $130,000 • Hybrid

About The Position

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.

Requirements

• 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
• Testing frameworks including pytest.
• GIT and collaborative development workflows
• CI/CD tools such as Jenkins.
• Remain in stationary position for prolonged periods of time
• Operate computer programs and software
• Ability to communicate effectively with audiences in person and in electronic formats
• Day-to-day contact with others (co-workers and/or public)
• Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Nice To Haves

• 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

• Participation in an incentive program linked to performance (for example, 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