Python Engineer

About the role

Allspring Global Investments is seeking 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. This role operates in a hybrid working model, requiring in-office work 4 days per week in Milwaukee, WI.

Responsibilities

• 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.

Requirements

• 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.
  • Testing frameworks including pytest.
  • GIT and collaborative development workflows.
  • CI/CD tools such as Jenkins.
  • Ability to remain in a stationary position for prolonged periods.
  • Ability to 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.
• Preferred Skills
  • 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.

This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in the United States without sponsorship now or in the future.

Pay

Base Pay Range: $100,000 - $130,000. Actual base salary may vary based on relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include participation in an incentive program linked to performance (e.g., annual discretionary bonus programs or other annual/non-annual incentive or sales plans).

Schedule

Hybrid working model requiring in-office work 4 days per week.