Federato is hiring a Senior Data Engineer to join a small, high-impact data engineering team within its AI/ML org, building the infrastructure and internal frameworks that let ML engineers develop, deploy, and iterate on AI-powered features.
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 across the AI/ML org: code quality, testing, documentation
Requirements
- ▹5+ years of experience in data engineering, backend engineering, or related roles with a data infrastructure focus
- ▹Proven experience designing and maintaining scalable data pipelines, e.g. Airflow, Dagster, or Prefect
- ▹Experience with software development practices: version control, CI/CD, dbt testing strategies
- ▹Strong SQL and Python proficiency, bonus points for TypeScript or similar
- ▹Comfort with version control, CI/CD systems, and cloud infrastructure: AWS, GCP, Terraform
- ▹Ability to navigate ambiguity and work closely with business stakeholders
Nice to have
- ▹Experience in insurance, fintech, or risk modeling domains
- ▹Exposure to MLOps or supporting AI/ML-driven products
- ▹Enthusiasm for building internal tools or frameworks
- ▹Contributions to open-source data tools
Soft skills
Navigating ambiguityWorking closely with business stakeholdersThriving in a fast-paced environment
What we offer
- ▹Stock options and additional perks
About the company
Federato is on a mission to defend the right to efficient, equitable insurance for all, building the only AI-native platform spanning the full policy lifecycle.
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