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Federato

Senior Data Engineer

RemoteNot specified. Estimate: United States · 90% confidence
Published
Role
Data Engineering
Experience
Senior
Company size
Startup
$160k–$210k/yr
Check eligibility

The listing doesn't say where it hires from. It may hire in United States (90% confidence). This is an estimate, not an eligibility rule; verify before applying.Signals: employment terms and salary level.

No BS summary

Senior data engineer with 5+ years in data or backend engineering focused on data infrastructure. Needs SQL, Python, scalable ETL/data pipelines, orchestration tools like Airflow/Dagster/Prefect, CI/CD, and cloud infrastructure. Insurance, fintech, risk modeling, or AI/ML product exposure is a plus.

Core skills

ETLSQLPython

Required skills

Airflow/Dagster/PrefectVersion controlCI/CDdbtCloud infrastructureAWS/GCP/Terraform

Optional skills

TypeScriptML opsOpen-source data tools

What you'll do

  • 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.

What they require

  • 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.
  • Preferred: Prior experience working in or adjacent to insurance, fintech, or risk modeling domains.
  • Preferred: Prior exposure to ML ops or experience supporting AI/ML-driven products
  • Preferred: Enthusiasm for building internal tools or frameworks to improve team velocity.
  • Preferred: Contributions to open-source data tools or involvement in the data community.

Benefits

  • Total compensation package does include stock options, benefits and additional perks.
  • We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Federato is an AI-native platform for insurers that spans the full policy lifecycle, helping underwriters triage submissions, get portfolio feedback, and consolidate workflows.

InsurTechStartup
$160k–$210k/yr