Data Engineer
About The Position
Berkshire Hathaway GUARD Insurance Companies is hiring a hands-on senior-level Data Engineer to build trustworthy, well-governed data products and turn them into insights that support underwriting, claims, product, distribution, and operations. The role works directly with business leaders to translate questions into curated datasets, intuitive Power BI models, analytic insights, and clear narratives that influence decisions. The engineer will move between data and analytics engineering and stakeholder discussions to understand business processes and needs. The position follows a hybrid schedule, with three days in an office and two days remote, and may be based at any of the company's listed office locations. Travel may be required.
Requirements
- Hands-on experience in data modeling (conceptual, logical, and physical), data engineering, analytics engineering, SQL, and Python.
- Bachelor’s or master’s degree in Computer Science, IT, or a related field.
- At least 5 years of data engineering experience; property and casualty insurance experience is preferred.
- Experience with Data Mesh, including domain ownership and decentralized data products.
- Strong experience with modern lakehouse platforms such as Microsoft Fabric, Databricks, Snowflake, or AWS.
- Experience building data solutions in cloud environments; Azure is preferred and AWS is a plus.
- Familiarity with Azure DevOps and CI/CD practices.
- Experience with data transformation, semantic modeling, and BI tools such as Power BI or 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.
Nice To Haves
- Experience with distributed processing frameworks such as Spark.
- Knowledge of data warehousing concepts and tools.
- Additional programming experience such as Scala.
- Understanding of data security and compliance.
- Microsoft Fabric certifications such as DP-600 or DP-700.
- Experience with AI agents or multi-agent frameworks for business use cases.
Responsibilities
- Collaborate with Underwriting, Product, Claims, Finance, and Distribution/Operations to turn business questions into documented requirements and actionable data solutions.
- Model and publish curated, analysis-ready datasets and semantic models in Power BI or other analytics delivery solutions for small commercial metrics.
- Build business knowledge and proactively produce automated analytical solutions to business challenges.
- Design, develop, and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric, following platform standards and optimizing performance, reliability, and cost.
- Implement documentation standards, governance, and data quality controls across datasets.
- 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 data modeling and engineering best practices to create reusable, high-quality data products.
- Participate in Agile/Scrum sprint planning, backlog refinement, and demos.
- Support the development and scaling of data products, BI solutions, and AI-driven use cases across business areas.
Benefits
- Competitive pay.
- Generous paid time off.
- Medical, dental, and vision coverage starting on day one.
- 401(k).
- Tuition reimbursement.
- Longevity bonuses.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
