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Senior Data Engineer
External company
himalayasremotefull-time
PythonSQLAirflowDagsterTerraformAWSdbtCI CD
Job description
About Federato
Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today — climate crisis, cyber-attacks, social inflation, etc. Our vision is well funded by those behind Salesforce, Veeva, Zoom, Box, etc.
Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done.
Role Overview
You'll be joining a small, high-impact data engineering team within Federato's AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems.
What You'll Be Doing:
- Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines enabling user-facing features.
- 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, including code quality, testing, and documentation.
Who We Hope You Are:
- 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.
- Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
Bonus: Prior experience in insurance, fintech, or risk modeling. Prior exposure to ML ops or AI/ML-driven products.
Salary: $185,000 - $215,000 USD. Total compensation includes stock options, benefits, and additional perks.
Federato is on a mission to defend the right to efficient, equitable insurance for all. We enable insurers to provide affordable coverage to people and organizations facing the issues of today — climate crisis, cyber-attacks, social inflation, etc. Our vision is well funded by those behind Salesforce, Veeva, Zoom, Box, etc.
Federato is the only AI-native platform that spans the full policy lifecycle and changes the way insurance work gets done.
Role Overview
You'll be joining a small, high-impact data engineering team within Federato's AI/ML organization. Our focus is on building the infrastructure and internal frameworks that empower machine learning engineers to develop, deploy, and iterate on AI-powered features ranging from prompt-based LLM workflows to more traditional model-driven systems.
What You'll Be Doing:
- Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines enabling user-facing features.
- 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, including code quality, testing, and documentation.
Who We Hope You Are:
- 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.
- Comfort working with version control, CI/CD systems, and cloud infrastructure (e.g., AWS, GCP, Terraform).
Bonus: Prior experience in insurance, fintech, or risk modeling. Prior exposure to ML ops or AI/ML-driven products.
Salary: $185,000 - $215,000 USD. Total compensation includes stock options, benefits, and additional perks.
Posted 17/04/2026
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