Data Engineer

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 Annual

The 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:

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.

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.

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