Data Science Software Engineer

MassMutual•Springfield, MA

3d•Hybrid

About The Position

Data Science Software Engineer – Data Science (Full-Time Hybrid, Location: Springfield, MA, NYC, NY, Boston, MA) The Opportunity As a Software Engineer on the Data Science Software Engineering team, you will work in a fast‑paced, innovative, and highly collaborative environment within MassMutual’s Research & Development organization. You will build systems, infrastructure, pipelines, and applications that directly support Data Science and AI initiatives across the enterprise. You will influence technical strategies and shape how MassMutual processes, consumes, interprets, and operationalizes data and AI solutions. The Team You will join a talented, cross-functional group of software engineers who enjoy solving hard problems, learning together, and creating high‑quality technical solutions that scale. The team thrives on collaboration, curiosity, and continuous improvement, and it partners closely with AI Engineers, Data Scientists, and other technical and business stakeholders. The team culture emphasizes innovation, fun, accountability, and a strong commitment to building secure and reliable software products. The Impact In this role, you will: Collaborate with AI Engineers, Data Scientists, Data Engineers, Product Managers, Enterprise Architecture, and broader stakeholders to define strategies for data ingestion and processing, cloud infrastructure design, application development, and observability. Your work will directly shape MassMutual’s Data Science and AI ecosystems. Serve as a technical SME across multiple technologies, guiding architectural decisions and ensuring alignment with enterprise standards. Provide technical leadership for multiple medium and large initiatives simultaneously, promoting engineering best practices and fostering high‑quality delivery. Design and implement reusable software libraries and components that accelerate development and increase organizational efficiency. Lead complex problem solving to deliver scalable, resilient, and maintainable systems. Partner with team members and business stakeholders to analyze, break down, and plan complex application features. Participate actively in team ceremonies such as standups, sprint planning, and demos. Implement infrastructure-as-code to support platform scalability and reliability. Monitor and remediate software vulnerabilities within required SLAs, contributing to enterprise security posture. Document infrastructure, workflows, and operational procedures to support transparency, auditability, and long-term sustainability.

Requirements

7+ years working with data and relevant computational frameworks and systems.
7+ years of experience building complex software systems (pipelines/services/backends/frontends).
7+ years of software development experience using Python.
7+ years developing backend applications with API services.
5+ years of experience with AWS cloud services (EKS, EC2, Lambda, etc.).
5+ years of experience with Terraform.
7+ years of experience writing complex SQL queries for relational databases such as MySQL or PostgreSQL.
5+ years of experience with Agile methodologies.
5+ years of hands-on experience with Jenkins pipelines and/or GitHub Actions.
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

Nice To Haves

Experience with GenAI and Agentic AI.
Experience deploying AI/ML services through AWS Bedrock and/or Bedrock AgentCore with Strands.
Experience with Azure cloud services.
Experience with Cloud IAM.
Experience collaborating with diverse engineering teams.
Strong documentation practices and the ability to produce high-quality technical artifacts.

Responsibilities

Collaborate with AI Engineers, Data Scientists, Data Engineers, Product Managers, Enterprise Architecture, and broader stakeholders to define strategies for data ingestion and processing, cloud infrastructure design, application development, and observability.
Serve as a technical SME across multiple technologies, guiding architectural decisions and ensuring alignment with enterprise standards.
Provide technical leadership for multiple medium and large initiatives simultaneously, promoting engineering best practices and fostering high‑quality delivery.
Design and implement reusable software libraries and components that accelerate development and increase organizational efficiency.
Lead complex problem solving to deliver scalable, resilient, and maintainable systems.
Partner with team members and business stakeholders to analyze, break down, and plan complex application features.
Participate actively in team ceremonies such as standups, sprint planning, and demos.
Implement infrastructure-as-code to support platform scalability and reliability.
Monitor and remediate software vulnerabilities within required SLAs, contributing to enterprise security posture.
Document infrastructure, workflows, and operational procedures to support transparency, auditability, and long-term sustainability.