Similar Jobs
See allRole Overview:
- You will join a small, high-impact data engineering team within the AI/ML organization.
- Focus on building infrastructure and frameworks for ML engineers to develop AI-powered features.
- Collaborate with ML, analytics, and product teams to ensure reliable, scalable data and tooling.
What You'll Be Doing:
- Build robust ETL pipelines enabling compelling user-facing features.
- Contribute to architecture decisions, observability, and data quality initiatives.
- Develop a scalable internal framework for managing prompt engineering pipelines and AI workflows.
Who We Hope You Are:
- 5+ years of experience in data engineering or related roles, with a focus on data infrastructure.
- Proven experience designing scalable data pipelines using Airflow, Dagster, or Prefect.
- Strong proficiency in SQL and Python, with familiarity in version control, CI/CD, and cloud infrastructure.
Federato
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.