Junior Data Engineer

Brown & Brown Insurance

1d•$100,000 - $125,000

About The Position

Brown & Brown is seeking a Junior Data Engineer to join our growing team! 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.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or related field
0-3 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)

Nice To Haves

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

Responsibilities

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