Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Brown & Brown is seeking a 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.
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
Licenses & Certifications:
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)
Skills & Experience to be Successful:
Required Qualifications
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)
Preferred Qualifications
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
Pay Range
$175,000.00 - $200,000.00 AnnualThe pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for the role.
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.
Recruiting Vendor Disclosure Statement
Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and received prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.
The Power To Be Yourself
As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.

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