Senior Data Engineer - Hybrid, Data Mesh & BI for Insurance

Berkshire Hathaway GUARD Insurance Companies; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Hybrid schedule: 2 days remote / 3 in‑

Competitive pay + generous PTO

Medical, dental & vision starting day

401(k), tuition reimbursement &lon gev

Job summary

Berkshire Hathaway GUARD Insurance Companies in New York, NY is seeking a hands-on Senior Data Engineer to build governed data products and translate business questions into datasets and Power BI models. You will collaborate with underwriting, product, claims, and analytics teams to deliver insight-driven solutions.

The role requires 5+ years in data engineering, experience with lakehouse platforms (Microsoft Fabric, Databricks, Snowflake), and cloud data pipelines.

Qualifications

• 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 and modern lakehouse platforms.
• Experience building data solutions in cloud environments (Azure preferred).
• Strong SQL and Python, data modeling, and BI tooling expertise.

Responsibilities

• Collaborate with cross-functional teams to transform business questions into data solutions.
• Model and publish curated datasets and semantic models in Power BI or analytics delivery.
• Design and maintain scalable ELT/ETL pipelines and lakehouse structures in Microsoft Fabric.
• Document architecture and governance standards to support onboarding and risk reduction.
• Work in an Agile/Scrum environment with product-based delivery.

Skills

Data modeling

Data engineering

SQL

Python

Power BI

Analytical thinking

Communication

Education

Bachelor’s or Master’s in CS/IT or related

Tools

Microsoft Fabric

Databricks

Snowflake

AWS

Azure DevOps

Job description

Berkshire Hathaway GUARD Insurance Companies in New York, NY is seeking a hands-on Senior Data Engineer to build governed data products and translate business questions into datasets and Power BI models. You will collaborate with underwriting, product, claims, and analytics teams to deliver insight-driven solutions.

The role requires 5+ years in data engineering, experience with lakehouse platforms (Microsoft Fabric, Databricks, Snowflake), and cloud data pipelines.