Data Engineer

Berkshire Hathaway GUARD Insurance Companies•Scottsdale, AZ

8d•$100,000 - $140,000•Hybrid

About The Position

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 Predictable hours (no nights, weekends, or holidays) Competitive pay + generous PTO Medical, dental & vision starting day one 401(k), tuition reimbursement & longevity bonuses

Requirements

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
Applicants must be authorized to work in the U.S. without current or future sponsorship

Nice To Haves

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

Responsibilities

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 models in 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.