Senior Full Stack Engineer Kforce Inc.
Armonk, NY4 days agoRemote
- $70–$80
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Skills
- Actuarial Skillsunmatched
- Analysis Skillsunmatched
- Automationunmatched
- Billingunmatched
- Claims Processingunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Computer Architectureunmatched
- Computer Skillsunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Data Analysisunmatched
- Data Lakeunmatched
- Data Managementunmatched
- Data Martunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Qualityunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- DevOpsunmatched
- Gitunmatched
- Hubsunmatched
- Insuranceunmatched
- Insurance Claimsunmatched
- Microsoft ADO (ActiveX Data Object)unmatched
- Microsoft Windows Azureunmatched
- Policy Developmentunmatched
- Power BIunmatched
- Problem Solving Skillsunmatched
- Production Systemsunmatched
- Python Programming/Scripting Languageunmatched
- Release Management/Engineeringunmatched
- SQL (Structured Query Language)unmatched
- SQL Databasesunmatched
- Sales Pipelineunmatched
- Scripting (Scripting Languages)unmatched
- Software Engineeringunmatched
- Source Code/Configuration Management (SCM)unmatched
- Team Playerunmatched
- Underwritingunmatched
Description
Job Summary:
We are seeking an experienced Data Engineer with strong expertise in Azure cloud services, Data Engineering practices, and DevOps automation, combined with a solid understanding of the Property & Casualty (P&C) Insurance domain. The ideal candidate will play a key role in designing, building, and optimizing data solutions to support underwriting, claims, and policy analytics initiatives.
Key Responsibilities:
Required Skills & Experience:
We are seeking an experienced Data Engineer with strong expertise in Azure cloud services, Data Engineering practices, and DevOps automation, combined with a solid understanding of the Property & Casualty (P&C) Insurance domain. The ideal candidate will play a key role in designing, building, and optimizing data solutions to support underwriting, claims, and policy analytics initiatives.
Key Responsibilities:
- A solid understanding and preferably practical experience working with event driven architectures, especially those involving event streaming. Hands on experience with Azure Event Hubs is a big plus.
- Design and develop data pipelines and ETL processes using Azure Data Factory, Databricks, and related Azure services.
- Extensive professional experience working with serverless computing architectures specifically Azure functions.
- Implement and maintain data models and data warehouses supporting P&C Insurance operations such as claims, policy, underwriting, and billing.
- Collaborate with business stakeholders and product teams to translate insurance data requirements into technical solutions.
- Utilize Azure DevOps for CI/CD automation, version control, and deployment of data solutions.
- Exposure to DevOps methodologies with practical experience in Azure DevOps (ADO), including configuration of CI/CD pipelines, managing build releases, and automating deployments across development and production environments.
- A solid understanding of the medallion architecture and underlying templatized pipelines for data estates would be good.
- Ensure data quality, governance, and lineage across multiple data systems and reporting environments.
- Work closely with data analysts, actuaries, and business teams to deliver insights and analytical solutions.
- Develop scripts and automation to optimize data ingestion, transformation, and validation workflows.
Required Skills & Experience:
- 12+ years of experience in data engineering, data analytics, or related fields.
- Strong knowledge of P&C Insurance processes (Claims, Policy Administration, Billing, Underwriting, etc.).
- Hands-on experience with Azure Data Services: Azure Data Factory, Databricks, Synapse, ADLS, and Azure SQL DB.
- Proficiency in DevOps tools – Azure DevOps, Git, CI/CD pipelines.
- Strong skills in SQL, Python, and data modeling (dimensional, relational, or lakehouse).
- Experience in building and maintaining data pipelines, data marts, and data lake architectures.
- Familiarity with reporting tools such as Power BI or other visualization platforms is an advantage.
- Excellent communication and problem-solving skills with the ability to work in an agile team environment.
Numbers & Facts
| Location | Jersey City, NJ |
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