Data Engineer

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Brown & Brown Insurance

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1939

💸 Finance

Finance • Insurance

Brown & Brown Insurance is one of the largest independent insurance brokerages globally, providing a comprehensive range of risk management solutions. Established in 1939, the company offers personal and business insurance, employee benefits, and various national programs. Brown & Brown is committed to diversity, inclusion, and belonging, fostering a culture that values talent and experience. With over 500 locations, the company is well-positioned to meet the diverse needs of its clientele and is listed on the New York Stock Exchange under the ticker BRO. The firm's strategic focus on mergers and acquisitions highlights its disciplined growth strategy.

📋 Description

• Design and implement end-to-end data pipelines within Azure Synapse Analytics, including: Synapse Pipelines, Dedicated and serverless SQL pools, Synapse Spark for distributed processing • Build scalable ELT workflows transforming raw healthcare data into analytics-ready structures • Optimize distributed workloads for performance and cost efficiency • Design layered architecture using Azure Data Lake Storage and Synapse • Develop healthcare data models across claims, eligibility, provider, and service dimensions • Build aggregated datasets (PMPM, utilization, risk scoring, provider performance) • Performance optimization/troubleshooting of existing data and pipelines • Clear/concise documentation of data transformations and key data details • Ensure compliance with HIPAA • Implement validation, reconciliation, and anomaly detection frameworks

🎯 Requirements

• Bachelor's degree in computer science, Data Engineering, or related field • 3–7+ years of data engineering experience (healthcare strongly preferred) • Strong SQL expertise and proficiency in Python or PySpark • Hands-on experience with: Azure Synapse Analytics (SQL pools, Spark, pipelines) • Azure Data Lake Storage • Experience building scalable ELT pipelines and dimensional data models • Familiarity with healthcare datasets (claims, eligibility, provider data)

🏖️ Benefits

• Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance • Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement • Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services • Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more.