Senior Data Engineer, MLOps

About the Company

Quanata is an insurance technology innovation company on a mission to ensure a better world through context-based insurance solutions. Wholly owned and funded by State Farm, we engineer advanced risk prediction and prevention solutions and build AI-native insurance platforms.

Responsibilities

• Operationalize key data science solutions for risk-prediction products
• Design and build ML pipelines using AWS services like SageMaker and tools like MLflow
• Stand up and operate a shared feature store using Snowflake Snowpark and Kafka
• Own real-time inference services and manage blue/green or canary deployments
• Implement comprehensive testing strategies within CI/CD pipelines
• Enable ML Governance through model and data versioning
• Implement event-driven orchestration for automated retraining and redeployment
• Monitor production models for performance, drift, and data quality

Requirements

• Bachelor's degree or equivalent relevant experience
• 8 years of industry experience with 2 years focused in MLOps
• 2 years in software engineering or equivalent
• Comprehensive experience in Python and Docker
• Proficiency in IaC tools like Terraform
• Expertise in designing and managing scalable MLOps solutions on AWS
• Experience with AWS Step Functions and CI/CD for machine learning

Preferred Qualifications

• Experience with large-scale distributed systems or complex APIs
• Proficiency in Snowflake Snowpark for Python/Java/Scala
• Prior experience in the insurance industry or highly regulated environments

Benefits

• Medical, dental, vision, and life insurance
• 401(k) Plan with company match
• Four weeks of PTO in the first year
• Twelve weeks of fully paid parental leave
• $5,000 annual professional development allowance
• $2,000 one-time home office equipment stipend