Senior Python Engineer: Data Pipelines & Cloud APIs

Allspring Global Investments Holdings, LLC

Milwaukee (WI)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Allspring Global Investments Holdings, LLC seeks a skilled Python Engineer to join the Investor Enablement team in Milwaukee to design, develop, and support enterprise-grade Python applications that enable investment, operations, and technology teams.

The role operates in a hybrid model with in-office presence four days per week, focusing on data processing, API development, and analytics using Pandas, NumPy, and plotting libraries. Collaboration and problem-solving are essential.

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.
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

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.