Senior Data Engineer

Federato is on a mission to defend the right to efficient, equitable insurance for all. The Senior Data Engineer will join a high-impact data engineering team to build infrastructure and frameworks that empower machine learning engineers, focusing on developing robust ETL pipelines and ensuring data quality for AI-powered features.

Responsibilities:

• Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
• Contribute to architecture decisions, observability tooling, and data quality initiatives that keep our platform robust and maintainable
• Contribute to a scalable internal framework for managing prompt engineering pipelines and other AI workflows
• Enforce and elevate engineering best practices across the AI/ML org, including code quality, testing, and documentation

Requirements:

• 5+ years of experience in data engineering, backend engineering, or related roles with a focus on data infrastructure
• Proven experience designing and maintaining scalable data pipelines (e.g., using Airflow, Dagster, or Prefect)
• Experience with software development practices like version control, CI/CD, or dbt testing strategies
• Strong proficiency in SQL and Python, with bonus points for Typescript (or similar) experience
• Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform)
• Comfortable navigating ambiguity and working closely with business stakeholders to understand their data needs
• Proven track record of designing high-impact data products and pipelines in fast-paced environments
• Prior experience working in or adjacent to insurance, fintech, or risk modeling domains
• Prior exposure to ML ops or experience supporting AI/ML-driven products
• Enthusiasm for building internal tools or frameworks to improve team velocity
• Contributions to open-source data tools or involvement in the data community