Data Engineer

Berkshire Hathaway Guard; Plano (TX); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid schedule

Competitive pay and generous PTO

Insurance from day one

Job summary

Berkshire Hathaway GUARD Insurance Companies is seeking a hands-on Senior Data Engineer to build governed data products and deliver insights for underwriting, claims, and operations. You will translate business questions into curated datasets and Power BI models, collaborating with leaders to drive informed decisions.

The role involves ELT/ETL pipelines, lakehouse structures in Microsoft Fabric, and working in an Agile environment with cross-functional teams across underwriting, product, and

Qualifications

• Hands-on data modeling, data engineering, analytics engineering, SQL and Python.
• Bachelor’s or Master’s degree in Computer Science, IT, or related field.
• 5+ years of data engineering experience, preferably in P&C insurance.
• Experience with Data Mesh and modern lakehouse platforms.
• Cloud experience (Azure preferred; AWS a plus) and CI/CD practices in Azure DevOps.

Responsibilities

• Collaborate with cross-functional teams to translate business questions into documented data requirements and data solutions.
• Model and publish curated datasets and semantic models in Power BI or analytics delivery.
• Develop scalable ELT/ETL pipelines and lakehouse structures to support business metrics.
• Design and maintain governance, data quality controls, and documentation across datasets.
• Support BI solutions and AI use cases across functions in an Agile/Scrum environment.

Skills

Data modeling

Data engineering

Analytics engineering

SQL

Python

Education

Bachelor’s or Master’s degree in Computer Science, IT, or related field

Tools

Power BI

Tableau

Azure DevOps

Microsoft Fabric

Databricks

Snowflake

AWS

Azure

Job description

Overview

Good Things Start Here.

Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long‑term careers.

Good Things You Can Count On.

• Hybrid schedule: 2 days remote / 3 in‑office
• Competitive pay + generous PTO
• Medical, dental & vision starting day one
• 401(k), tuition reimbursement & longevity bonuses

Responsibilities

We are hiring ahands-on senior levelData Engineer to build trustworthy, well governed data productsand turnthem into insights that drive underwriting, claims, product, distribution, and operations for the organization. You will collaborate directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights and clear narratives that influence decisions. You’ll context switch comfortably between data & analytic engineering and meeting withbusiness stakeholders to understand their processes and needs.

What You'll Do:

• Collaborate closely with cross-functional teams; including Underwriting, Product, Claims, Finance, and Distribution/Operations- to transform business questions into clearly documented requirements and actionable data solutions.
• Model and publish curated, analysis ready datasets, semantic modelsin Power BI or analytics delivery that illuminate small commercial metrics.
• Continuously learn and expand business knowledge to proactively produce automated analytic solutions to business challenges.
• Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric; Follow platform standards, optimize for performance, reliability, and cost.
• Follow and implement documentation standards, governance and data quality controls across datasets.
• Use Azure DevOps (ADO) for CI/CD and version control (branching, pull requests, release pipelines) to harden delivery and improve repeatability.
• Document technical architecture and workflows to support onboarding and reduce risk
• Apply best practices in data modeling and engineering to create reusable, high-quality data products.
• Work in an Agile/Scrum environment, contributing to sprint planning, backlog refinement, and demos.
• Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas.

Qualifications

Required

• Hands-on experience in data modeling (conceptual, logical, physical), data engineering, analytics engineering, SQL, and Python
• Bachelor’s or Master’s degree in Computer Science, IT, or related field
• 5+ years of data engineering experience, preferably in P&C insurance
• Experience with Data Mesh (domain ownership and decentralized data products)
• Strong experience with modern lakehouse platforms (e.g., Microsoft Fabric, Databricks, Snowflake, AWS)
• Experience building data solutions in cloud environments (Azure preferred; AWS a plus)
• Familiarity with Azure DevOps (ADO) and CI/CD practices
• Experience with data transformation, semantic modeling, and BI tools (Power BI, Tableau)
• Strong analytical and problem-solving skills
• Experience working in Agile/Scrum environments with product-based delivery
• Experience delivering end-to-end data, analytics, or AI solutions with business stakeholders
• Strong communication and collaboration skills

Preferred:

• Experience with distributed processing frameworks (e.g., Spark)
• Knowledge of data warehousing concepts and tools
• Additional programming experience (e.g., Scala)
• Understanding of data security and compliance
• Microsoft Fabric certifications (e.g., DP-600, DP-700)
• Experience with AI agents or multi-agent frameworks for business use cases

Salary Range:

$100,000 – $140,000.

In accordance with applicable pay transparency laws, the above range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

Plano, TX, New York, NY, Scottsdale, AZ, Wilkes-Barre, PA

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.