Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Brown & Brown Insurance

Data Engineer

Brown & Brown Insurance

Data Engineer designing, building, and optimizing scalable healthcare data solutions leveraging Microsoft Azure ecosystem. Focus on ingestion, transformation, modeling, and delivery of complex datasets.

Posted 6/25/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $175,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies
AzurePySparkPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesELT workflowsSQLPythonPySparkdata modelsperformance optimizationdata transformationsanomaly detectionreconciliation
Soft Skills
clear documentationtroubleshootingcost efficiency
Certifications
Bachelor's degree in computer scienceBachelor's degree in Data Engineering