Senior Data Engineer

Responsibilities

• Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines
• Contribute to architecture decisions, observability tooling, and data quality initiatives
• Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows
• Enforce and elevate engineering best practices including code quality, testing, and documentation

Requirements

• 5+ years of experience in data engineering, backend engineering, or related roles
• Proven experience designing and maintaining scalable data pipelines using Airflow, Dagster, or Prefect
• Experience with version control, CI/CD, or dbt testing strategies
• Strong proficiency in SQL and Python
• Experience with cloud infrastructure such as AWS, GCP, or Terraform
• Ability to navigate ambiguity and work closely with business stakeholders

Preferred Qualifications

• Prior experience in insurance, fintech, or risk modeling domains
• Prior exposure to MLOps or supporting AI/ML-driven products
• Enthusiasm for building internal tools or frameworks
• Contributions to open-source data tools

About the Company

Federato is an AI-native platform that spans the full policy lifecycle to help insurers provide affordable coverage. The company enables better decisioning by integrating portfolio goals and strategies directly into the underwriting workflow.