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# Data Engineer

- **Company:** Brown & Brown, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $175,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Clinical Data Repository, Continuous Integration, Information Engineering, Data Warehousing, Distributed Computing Environment, Github, Python (Programming Language), Performance Tuning, Azure Data Lake, SQL Databases, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Azure Synapse Analytics, Data Pipelines, Serverless Computing
- **Published:** June 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f55a36c486ae8573

## About the Role

Do you have experience in Spark implementation?, Do you have a Bachelor's degree?, * Azure Certification Requirement (one or more of the following):

 + Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent
 + Microsoft Certified: Azure Fundamentals (AZ-900) (minimum baseline expected)
 * Advanced Azure certifications such as:
 + Microsoft Certified: Azure Solutions Architect Expert (AZ-305) (preferred)
 + Microsoft Certified: Azure Developer Associate (AZ-204) (preferred), * 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), * Experience designing enterprise data warehouses within Synapse
 * Familiarity with lakehouse architectures (Delta Lake, Spark)
 * Experience with CI/CD (Azure DevOps, GitHub Actions
 * Exposure to value-based care or population health analytics

## Description

We are seeking a Data Engineer to design, build, and optimize scalable healthcare data solutions leveraging the Microsoft Azure ecosystem, with a strong focus on Azure Synapse Analytics as the central data platform.

This role will support ingestion, transformation, modeling, and delivery of complex healthcare datasets including medical and pharmacy claims, eligibility, provider, and clinical data.

How You Will Contribute:

 * 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


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