Data Engineer

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies. We provide Property & Casualty insurance products and services through a nationwide network of independent agents and brokers. Our companies are all rated A+ “Superior” by AM Best (the leading independent insurance rating organization) and ultimately owned by Warren Buffett’s Berkshire Hathaway group – one of the financially strongest organizations in the world! Headquartered in Wilkes-Barre, PA, we employ over 1,000 individuals (and growing) and have offices across the country. Our vision is to be a leading small business insurance provider nationwide.

 

Founded upon an exceptional culture and led by a collaborative and inclusive management team, our company’s success is grounded in our core values:  accountability, service, integrity, empowerment, and diversity. We are always in search of talented individuals to join our team and embark on an exciting career path!

 

Benefits:

We are an equal opportunity employer that strives to maintain a work environment that is welcoming and enriching for all. You’ll be surprised by all we have to offer!

• Competitive compensation
• Healthcare benefits package that begins on first day of employment
• 401K retirement plan with company match
• Enjoy generous paid time off to support your work-life balance plus 9 ½ paid holidays
• Up to 6 weeks of parental and bonding leave
• Hybrid work schedule (3 days in the office, 2 days from home)
• Longevity awards (every 5 years of employment, receive a generous monetary award to be used toward a vacation)
• Tuition reimbursement after 6 months of employment
• Numerous opportunities for continued training and career advancement
• And much more!

Responsibilities

We are hiring a hands-on Data Engineer to build trustworthy, well governed data products and turn them 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 with business stakeholders to understand their processes and needs. 

Key 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 with clear diagrams and runbooks to accelerate onboarding and reduce operational risk. 

Qualifications

Qualifications: 

• Bachelor’s degree in computer science, information technology, or a related field. 

• 2-3 years of experience in data engineering or a related role. 

• Proficiency in Microsoft Fabric is a plus. 

• Exposure to Azure DevOps (ADO) and CI/CD practices. 

• Strong SQL, Python and data modeling skills. 

• Experience with cloud platforms, preferably Azure. 

• Excellent problem-solving and analytical skills. 

• Strong communication and collaboration abilities. 

 

Preferred Skills: 

• Experience with big data technologies such as Hadoop, Spark, or Databricks. 

• Knowledge of data warehousing concepts and tools. 

• Familiarity with programming languages such as Python or Scala. 

• Understanding of data security and compliance requirements. 

 

 

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

 

Salary Range: 

$65,000 – $125,000