

Data Engineer - P&C Insurance Analytics
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in P&C Insurance Analytics, offering a contract of unspecified length at a pay rate of "W2 rates only," based in Princeton, NJ or NYC. Key skills include Azure Data Factory, Databricks, and insurance domain experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 8, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Princeton, NJ
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π§ - Skills detailed
#Databases #Data Pipeline #ADLS (Azure Data Lake Storage) #Azure Event Hubs #Spark (Apache Spark) #ADF (Azure Data Factory) #Data Lake #SSRS (SQL Server Reporting Services) #Data Engineering #SSAS (SQL Server Analysis Services) #"ETL (Extract #Transform #Load)" #Automation #Azure Analysis Services #Azure Databricks #Normalization #SSIS (SQL Server Integration Services) #Microsoft Azure #Agile #Azure Stream Analytics #MongoDB #Azure SQL #Data Warehouse #SQL Server #Big Data #Azure #Data Layers #Azure Data Factory #SQL (Structured Query Language) #PySpark #Databricks #dbt (data build tool) #Scrum #Data Mining #BI (Business Intelligence) #Data Extraction
Role description
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Data Engineer with expertise in the P&C Insurance domain needed for an immediate contract, potential contract to hire role in Princeton NJ or NYC midtown on a hybrid basis 3 days a week
This role is for W2 rates only and not open to 3rd party candidates.
Technical Skills:
β’ Business Intelligence: Azure Data Factory (ADF), Azure Databricks, Azure Analysis Services (SSAS), Azure Data Lake Analytics, Azure Data Lake Store (ADLS), Azure Integration Runtime, Azure Event Hubs, Azure Stream Analytics, DBT
β’ Database Technologies: Azure SQL, MongoDB, PySpark
Experience Required:
Data Engineering
β’ Experience in implementing Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. Strong Understanding in Azure Big data technologies like Azure Data Lake Analytics, Azure Data Lake Store, Azure Data Factory and in moving the data from flat files and SQL Server using U-SQL jobs.Expert in data warehouse development starting from inception to implementation and ongoing support, strong understanding of BI application design and development principles using Normalization and De-Normalization techniques. Experience in developing staging zone, bronze, silver and gold layers of data
β’ Good knowledge in implementing various business rules for Data Extraction, Transforming and Loading (ETL) between Homogenous and Heterogeneous Systems using Azure Data Factory (ADF).
β’ Developed notebooks for moving data from raw to stage and then to curated zones using Databricks.
β’ Involved in developing complex Azure Analysis Services tabular databases and deploying the same in Microsoft azure and scheduling the cube through Azure Automation Runbook.
β’ Extensive experience in developing tabular and multidimensional SSAS Cubes, Aggregation, KPIs, Measures, Partitioning Cube, Data Mining Models, deploying and Processing SSAS objects.
Domain Knowledge
β’ Experience with actuarial tools or insurance is preferred. The intent is familiarity with the data terminologies and the hierarchy of data in the Insurance domain, specifically in the below areas Familiarity with reinsurance broking data, including placements, treaty structures, client hierarchies, and renewal workflows.
β’ Understanding of actuarial rating inputs and outputs, including exposure and experience data, layers, tags, and program structures.
β’ Experience building data pipelines that support actuarial analytics, pricing tools, and downstream reporting for brokers and clients.
β’ Team skillsTeam builder with strong, analytical & interpersonal skills with good knowledge in Software Development Life Cycle (SDLC) and Proficient in technical writing.
β’ Experience in Agile software development and SCRUM methodology.
β’ Ability to work independently and as part of a team to accomplish critical business objectives as well as good decision-making skills under high pressure complex scenarios
Vertex Solutions Inc. is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national origin, ancestry, religion, age, citizenship, sex, marital or veteran status, disability or handicap, sexual orientation or any other basis prohibited by applicable law.