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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Application Engineer - **Company:** Allspring Global Investments - **Location:** Milwaukee, WI, United States - **Experience:** Experienced - **Salary:** $120,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, JIRA, Automation of Tests, Big Data, Business Software, Continuous Integration, Extract Transform Load (ETL), Data Systems, Database Queries, Database Storage Structures, Software Design Patterns, Identity and Access Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, NoSQL, NumPy, Object-Oriented Software Development, Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Reference Data, Power BI, Cloud Services, Swagger, Software Engineering, Systems Integration, Working Model 2D, Openapi, Data Processing, Multithreading, Data Ingestion, Postman, Delivery Pipeline, Snowflake, Git, Fastapi, Pandas, Matplotlib, Pytest, Information Technology, Data Analytics, Plotly, Functional Programming, Api Design, Restful APIs, Streamlit Framework, Workday, Docker, Jenkins - **Published:** October 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5de4b1bd8ab6537e ## About the Role 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, * 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., * 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. ## Description 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.