Engineer, Data Engineering

Quantitative Data Engineer
Quantitative Research & Development Team
Full-Time
As a Quantitative Data Engineer you will work in a fast paced, innovative, and collaborative environment on exciting technology directives. A Quantitative Data Engineer embodies a unique combination of technical , business and people skills. Both emotional intelligence and the ability to solve complex problems and communicate effectively are key to success. Ideally, you have a strong background in Fixed Income d ata as well as workflow orchestration and CI/CD pipelines. Additionally, it is preferred that you have robust experience in cloud platforms and system architecture .
As a Quantitative Data Engineer , you will join the Quantitative Investment Platforms team , part of MassMutual’s Investment Management QRD organization. The Quantitative development team is comprised of highly skilled, financial industry savvy professionals who render collaborative and portfolio risk solutions to our portfolio managers. The team culture is collaborative, cross-functional, and fosters high performance results with an emphasis on encouraging a healthy work/life balance.
Our ideal Quantitative Data Engineer is passionate about data and deploying solutions and workflow automations .
~ You enjoy building data projects from the ground up and are equally comfortable working with business partners to understand requirements as you are developing and delivering robust solutions that meet the highest standards.

~ Learning new technologies and working in the cloud excite you.

~ Ingest data from disparate sources into the various data stores

~ Cleanse and enrich data and apply adequate data quality controls

~ Provide insight and direction to guide the future development of MassMutual’s data platform

~ Develop re-usable tools to help streamline the delivery of new projects

~ Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements

A Bachelor’s degree in Math, Engineering, Computer Science , or related field .

~5+ Years of experience in the IT and/or finance industry

~5+ years of u nderstanding of ELT methodologies and tools via Python

~5+ years of e xperience with GIT and code review/deployment & scheduling part of

~5+ years of e xperience in relational databases ( SQLServer /PostgreSQL) and NOSQL databases (Mongo)

Master’s degree in Math, Computer Science, E ngineering or a related fiel d

~7+ Years of experience in the IT and/or finance industry

~ Python : Extensive hands on experience developing with Python and advanced data processing using Python libraries & AWS services.

~ Cloud: Experience working in a cloud environment and basic administration ( e.g. AWS )

~ Extensive experience in modeling and tuning relational databases (SQL Server/PostgreSQL) and NOSQL databases (Mongo)

~ Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues

~ Experience with data reporting ( e.g. Micro strategy, Tableau, Looker) or via python libraries

~ Experience delivering mobile apps and app store ecosystems

~ A Data-driven mindset and the ability to use quantitative tools and analyze unstructured feedback to inform the development of solutions

~ Curiosity regarding emerging digital and technology trends can translate into excellent customer experiences

~ Experience in Agile/SCRUM-specifically in Story/Acceptance criteria development

Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ IA+ , veteran and disability-focused Business Resource Groups

~ Access to learning content on Degreed and other informational platforms

~ If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
California residents: