Senior Data Engineer (MLOps)

TL;DR

Senior Data Engineer (MLOps): Operationalizing key data science solutions for risk-prediction products in underwriting, pricing, claims, and marketing with an accent on ML pipelines, feature stores, and real-time inference. Focus on designing scalable MLOps platforms with AWS SageMaker, Snowflake, Kafka, implementing CI/CD, governance, event-driven orchestration, and production monitoring.

Location: Remote within the US (excluding U.S. territories). Employees in San Francisco Bay Area or Providence, Rhode Island may commute to local offices as desired. Occasional travel may be requested but not required. Core hours 9AM-2PM Pacific time.

Salary: $213,000 to $300,000

Company

hirify.global creates context-based insurance solutions with Silicon Valley talent backed by State Farm.

What you will do

• Operationalize data science solutions for risk-prediction products across underwriting, pricing, claims routing, and marketing.
• Design and build ML pipelines using AWS SageMaker, MLflow, and Snowflake.
• Build and operate shared feature store with Snowflake Snowpark and Kafka for batch and real-time features.
• Own real-time inference services with SageMaker endpoints or EKS microservices, managing deployments.
• Implement testing strategies and CI/CD pipelines for ML systems.
• Enable ML governance, versioning, experiment tracking, event-driven retraining, and production monitoring.

Requirements

• Bachelor's degree or equivalent and 8+ years industry experience, including 2 years in MLOps and 2 years software engineering.
• Comprehensive experience in Python and Docker; familiarity with bash and bazel.
• Advanced proficiency in IaC with Terraform.
• Expertise in scalable MLOps on AWS, end-to-end ML lifecycle.
• Proficiency in AWS Step Functions for workflows and CI/CD for ML.
• Excellent communication and collaboration skills.

Nice to have

• Experience with large-scale distributed systems, complex APIs, or platform engineering.
• Snowflake ML capabilities like Snowpark, UDFs.
• Insurance or regulated industry experience.

Culture & Benefits

• Comprehensive health, dental, vision, life insurance, Headspace, wellness allowance, 401(k) match.
• $2K one-time home office setup; MacBook Pro provided.
• 4 weeks PTO first year; 12 weeks paid parental leave.
• $5K annual professional development budget, LinkedIn Learning, BetterUp coaching.
• Remote-first with core Pacific hours for collaboration.