Data Engineer

Berkshire Hathaway GUARD Insurance Companies

Data Engineer at Berkshire Hathaway GUARD building trustworthy data products for underwriting and claims analysis. Collaborating across teams to translate business needs into actionable data solutions.

Posted 6/18/2026full-timePlano • Arizona, New York, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingdata engineeringanalytics engineeringSQLPythonELTETLdata transformationsemantic modelingAI solutions

Soft Skills

analytical skillsproblem-solving skillscommunication skillscollaboration skills

Certifications

Bachelor’s degreeMaster’s degree