AI-First Data Engineer – P&C Insurance Leader

Farm Family

Nebraska

Hybrid

USD 128.000 - 152.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Zusammenfassung

Argo and Farm Family are seeking a Senior Data Engineer to drive an AI-first data strategy for a leading P&C insurer. You will lead design and delivery of data products across underwriting, claims, risk, and customer experience, working with analysts, actuaries, and business leaders to enable rapid, compliant insights.

You will mentor teammates, shape data governance, and advocate best practices in data quality and security within an on-site environment.

Qualifikationen

  • Bachelor’s or Master’s degree in CS/Engineering or a related field.
  • 5+ years of data engineering experience, with a track record in data design and implementation for insurance.
  • Knowledge of P&C insurance operations and regulatory requirements.

Aufgaben

  • Lead the design and implementation of AI-powered data products and solutions for underwriting, claims, risk, and customer experience in P&C.
  • Define, develop, and register curated data products for auto, home, commercial, and specialty lines.
  • Collaborate with analysts, data scientists, actuaries, underwriters, claims teams, and leaders to deliver scalable, compliant data solutions.

Kenntnisse

Python
SQL
Snowflake
Databricks
LangChain
AWS
Generative AI
LLMs

Ausbildung

Bachelor's or Master's in Computer Science, Engineering, or related field

Tools

Snowflake
Databricks
LangChain
Vector databases
AWS

Jobbeschreibung

Argo and Farm Family are seeking a Senior Data Engineer to drive an AI-first data strategy for a leading P&C insurer. You will lead design and delivery of data products across underwriting, claims, risk, and customer experience, working with analysts, actuaries, and business leaders to enable rapid, compliant insights.

You will mentor teammates, shape data governance, and advocate best practices in data quality and security within an on-site environment.

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