✦ Luna Orbit — Data & Analytics

Data Science Software Engineer

at Massachusetts Mutual Life Insurance

📍 3 Locations Hybrid 💰 $163K – $215K USD / year Posted March 13, 2026
Salary $163K – $215K USD / year
Type Full-Time
Experience senior
Exp. Years 7+ years
Education Not specified
Category Data & Analytics

This role involves developing and leading scalable data science infrastructure and AI systems within MassMutual, leveraging cloud technologies and software engineering best practices.

  • Build scalable data pipelines
  • Lead AI infrastructure development
  • Implement infrastructure-as-code
  • Ensure system security and resilience
  • Collaborate with data science teams

Focuses on Python programming, AWS cloud services (EKS, EC2, Lambda), infrastructure-as-code, and building complex data pipelines and AI infrastructure.

The ideal candidate is a senior software engineer with 7+ years of experience in Python development and extensive AWS cloud infrastructure expertise, including EKS, EC2, and Lambda. They should have a strong background in building scalable, resilient systems and infrastructure-as-code practices.

7+ years experience with Python7+ years experience building software systemsExperience with AWS cloud servicesExperience with infrastructure-as-code
AI/ML frameworksData science toolsSecurity vulnerability management
AWSEKSEC2LambdaPython
PythonAWSEKSEC2LambdaInfrastructure-as-codeData pipelinesSoftware developmentBackend applicationsAPIs
PythonAWSEKSEC2LambdaData pipelinesInfrastructure-as-codeSoftware developmentBackend applicationsAPIsCloud infrastructure
CollaborationProblem-solvingLeadershipCommunicationTeamwork

Preferred

AWS Certified Solutions ArchitectAWS Certified Developer
Industry Insurance
Job Function Data science software engineering and cloud infrastructure development
PythonAWSEKSEC2LambdaInfrastructure-as-codeSoftware developmentBackend applicationsAPIsData pipelinesCloud infrastructureAIMLSecurity vulnerabilitiesMassMutualHybrid

Less than 7 years experience in software development, No AWS experience, Lack of Python expertise, Unwillingness to work in a hybrid environment

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