

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis in Princeton, NJ, hybrid 3 days a week. The pay rate is "unknown." Key skills include Microsoft BI/Azure BI solutions, data warehousing, and experience in the insurance domain is preferred.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 4, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Princeton, NJ
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π§ - Skills detailed
#Scrum #Azure Analysis Services #Automation #Data Layers #"ETL (Extract #Transform #Load)" #Data Mining #SQL Server #Data Extraction #SSAS (SQL Server Analysis Services) #Data Lake #SQL (Structured Query Language) #Databricks #ADF (Azure Data Factory) #Azure Databricks #Data Warehouse #Data Engineering #SSRS (SQL Server Reporting Services) #Azure #Agile #BI (Business Intelligence) #SSIS (SQL Server Integration Services) #Normalization #Azure Data Factory #Microsoft Azure #Data Pipeline #Big Data #Databases
Role description
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Data Engineer
Princeton, NJ, hybrid 3 days a week in the office
Contract
Insurance client has an immediate need for a Data Engineer with 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.
Experience Required:
β’ 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 (Preferred)
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
β’ 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.
Team skills
β’ Team 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.