Data Engineer

Berkshire Hathaway GUARD Insurance Companies

. Build trustworthy, well governed data products and turn them into insights that drive underwriting, claims, product, distribution, and operations .

Posted 10/16/2026full-timeUnited StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering, analytics engineering, and data modeling, with a strong focus on building scalable ELT/ETL pipelines and data solutions in cloud environments. Proficient in collaborating with cross-functional teams to deliver actionable insights and high-quality data products using tools like Power BI and Microsoft Fabric.

Highest-signal resume keywords

Data EngineeringData ModelingPower BIMicrosoft FabricAgile/Scrum

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData TransformationSemantic ModelingData MeshCloud EnvironmentsData WarehousingDistributed ProcessingAnalytics EngineeringData Quality Controls

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

Azure DevOpsCI/CDDatabricksSnowflakeTableauMicrosoft Fabric

Certifications & Qualifications

Microsoft Fabric CertificationsDP-600DP-700

Industry Keywords

P&C InsuranceData GovernanceBusiness IntelligenceAI SolutionsLakehouse Platforms

Tech Stack

Tools & technologies

AWSAzureCloudETLPythonScalaSparkSQLTableau

About the role

Key responsibilities & impact

Build trustworthy, well governed data products and turn them into insights that drive underwriting, claims, product, distribution, and operations
Collaborate with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights, and clear narratives
Collaborate with Underwriting, Product, Claims, Finance, and Distribution/Operations teams to transform business questions into documented requirements and actionable data solutions
Model and publish curated, analysis-ready datasets and semantic models in Power BI
Continuously expand business knowledge to proactively produce automated analytic solutions
Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric
Follow platform standards and optimize for performance, reliability, and cost
Implement documentation standards, governance, and data quality controls
Use Azure DevOps for CI/CD and version control, including branching, pull requests, and release pipelines
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
Participate in Agile/Scrum activities, including sprint planning, backlog refinement, and demos
Support development and scaling of data products, BI solutions, and AI-driven use cases across business areas
Work in one of the company’s offices three days per week and travel as required

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

Benefits

Comp & perks

Competitive pay
Generous PTO
Medical, dental & vision starting day one
401(k)
Tuition reimbursement
Longevity bonuses
Hybrid schedule: 2 days remote / 3 in-office
Opportunities to grow
Supportive leadership and collaborative teams