Local to Minneapolis area only - will be in-office 2 days a week.
W2 only
The Application Engineer supports our back-office customers within the Investments division of client. The engineer is responsible for the enhancement, development, and upgrades of existing systems that drive investment performance across multiple asset classes. The work of the Application Engineer involves the tasks of planning, analysis, design, developing/coding, testing, implementation, and maintenance of large and complex systems.
Application Engineer
Provide support for business applications (proprietary and/or vendor applications) including:
o Enhancement and/or new development work on projects
o Upgrades to existing systems
o Routine maintenance and support activities
o Participation in on-call rotation to provide 24x7 support for existing systems
Work collaboratively in a team environment with business resources and other application engineers.
Use established agile methodologies and tools to identify, verify and document technical features that support development of business-driven technology solutions.
Work with other application engineers to ensure that the affected application components function appropriately, data impacts are considered, and other areas of change management are addressed.
Install application components by following implementation and verification procedures to ensure the successful implementation of systems.
Develop, integrate, test, debug and document application components using a variety of technologies.
This role will have a strong data engineering focus, with expertise in:
o Utilizing Data Integration and ETL (Extract, Transform, Load), with a proficiency in extracting data from various sources, transforming it into a usable format, and loading it into data warehouses or data lakes.
o Database Management, working with relational databases (e.g., SQL Server, PostgreSQL,
MySQL) and NoSQL databases (e.g., MongoDB). Ability to design and optimize database schemas and queries.
o Understanding of modern data modeling techniques and schema design principles to ensure data is structured optimally for analytics.
o Cloud platforms such as AWS and Snowflake.
Job Qualifications
Required
Bachelors degree in computer science, MIS, business, mathematics, or related field
2-4+ years technical experience utilizing Java with Spring Boot framework and or Python
Demonstrated ability to learn new development languages, tools, and structures
Strong interpersonal skills combining collaboration, critical thinking, leadership, and communication that drive innovative thinking
Effectively communicate to coworkers and customers in a professional manner
Data Engineering ability and mindset
Strong critical thinking abilities to assess application system and design changes within the convention of the system
Strong abilities in troubleshooting and problem solving with a desire to continuously learn and improve
Ability to make sound judgments when evaluating the business and technical environment and assessing technical solutions
Work effectively as a member of a cross functional team iterating on solutions while providing 24x7 support for production systems
Ability to learn vendor package implementations
Continuous exposure to new sources of ideas
Nice to have:
Investments Financial industry experience with exposure to applications such as Aladdin, Bloomberg,
FactSet, PAM for Investments, PAM for UVT, and Morningstar
Knowledge of languages and related libraries such as Java, Python, R, SQL, and React
Experience with ETL Tools Markit EDM and Informatica
Ability to integrate data pipelines with machine learning models and tools for predictive analytics.
Effective problem-solving skills to troubleshoot data pipeline issues and optimize performance.
Knowledge in development methodologies (Agile), tools (Scrum, Kanban), general IT controls
(ServiceNow), and scheduling (Zena)
Embrace the skills and perspectives of those around you in pursuit of positive change
