Application Engineer - Asset Management

Thrivent•Minneapolis, MN

1d•$94,175 - $127,413•Hybrid

About The Position

The Application Engineer, Asset Management creates and maintains software applications and data solutions to meet business needs within the Investments organization. The work of the Application Engineer, Inv involves planning, analysis, design, development, testing, implementation, and ongoing support. This role operates at the intersection of application engineering, data integration, and production support, enabling portfolio managers, analysts, and operations teams through reliable, scalable, and well-governed technology solutions. The Application Engineer, Inv focuses on individual application components or subsystems within larger systems, working in a collaborative team environment.

Requirements

Bachelor’s degree in computer science, MIS, business, mathematics, or related field.
3+ years’ technical experience in application engineering, data engineering, or production support.
Experience with development languages, tools, and structures (e.g., Python, R, SQL or similar technologies).
Experience with vendor package implementation and system integration.
Business knowledge for the area of support.
Experience working with data pipelines, APIs, or system integrations.
Experience troubleshooting issues across applications, data, and infrastructure layers.
Strong critical thinking abilities to assess application systems and design effective solutions across application and data domains.
Ability to make sound judgments when evaluating business and technical environments and recommending solutions.
Strong troubleshooting and problem-solving skills across distributed systems and data workflows.
Demonstrates a continuous learning mindset and adaptability across modern and legacy technologies.
Works effectively as a member of a cross-functional team, iterating on solutions while supporting 24x7 production systems.
Strong attention to detail, particularly with data quality, accuracy, and operational reliability.
Ability to communicate technical concepts clearly to both technical and business audiences.
Proactive mindset focused on automation, process improvement, and reducing manual effort.

Responsibilities

Provide support for business applications (proprietary and/or vendor applications) including: Enhancement and/or new development work on projects. Upgrades to existing systems and platforms. Routine maintenance and support activities. Participation in on-call rotation to provide 24x7 support for production systems.
Work collaboratively in a team environment with business partners, analysts, and other application engineers.
Use established agile methodologies and tools to identify, verify, and document technical features supporting business-driven technology solutions.
Work with other application engineers and architects to ensure application components function appropriately, data impacts are considered and change management processes are followed.
Develop, integrate, test, debug, and document application components using a variety of technologies.
Install and deploy application components by following implementation and verification procedures to ensure successful production outcomes.
Mentor other Application Engineers to develop skills and knowledge.
Automate recurring processes involving data ingestion, transformation, validation, and reporting to improve efficiency, reliability, and scalability.
Support analytics platforms and environments used by data analysts, including managing dependencies and ensuring reproducibility.
Maintain documentation for applications, data flows, and operational procedures.
Design, develop, enhance, and maintain application components, data pipelines, and integrations supporting investment systems and analytics workflows.
Build and maintain data integrations and pipelines supporting portfolio holdings, reference data, benchmark/index data, pricing, and performance-related workflows.
Develop and support APIs and integrations across internal systems and external vendor platforms.
Diagnose and resolve moderately complex issues across application code, data pipelines, APIs, databases, and infrastructure environments (Linux/Windows).