Senior Data Engineer

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November 25

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Federato

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Artificial Intelligence • Insurance

Federato is an innovative company that provides an AI-driven platform designed to transform underwriting processes for insurance companies. Their platform, known as RiskOps, helps insurers achieve profitable underwriting growth by automating submission triage, offering real-time decision support, and consolidating multiple systems into a single, efficient workflow. Federato's solutions are tailored for carriers, MGAs (Managing General Agents), and mutual insurance companies, offering them improved visibility, efficiency, and the ability to prioritize high-value accounts. With features like seamless rating interfaces and efficient submission portals, Federato aids insurers in streamlining their operations and enhancing their underwriting capabilities using advanced technology.

11 - 50 employees

🤖 Artificial Intelligence

💰 $15M Series A on 2022-09

📋 Description

• 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.

🏖️ Benefits

• Total compensation package includes stock options, benefits and additional perks.