

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a focus on Azure BI in the insurance domain. Contract length is unspecified, with a competitive hourly pay rate. Key skills include Azure Data Factory, Databricks, SSAS, and ETL design.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
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ποΈ - Date discovered
July 5, 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
#Normalization #Documentation #SQL (Structured Query Language) #Scrum #Databricks #MongoDB #PySpark #Azure SQL #Azure Data Factory #Automation #BI (Business Intelligence) #SSRS (SQL Server Reporting Services) #SQL Server #ADF (Azure Data Factory) #Data Pipeline #SSIS (SQL Server Integration Services) #Azure Databricks #Data Architecture #Data Engineering #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #SSAS (SQL Server Analysis Services) #Data Mining #Scala #Big Data #Data Lake #Azure Analysis Services #Azure #Agile
Role description
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Are you a data engineering pro with deep Azure BI expertise and a knack for building clean, scalable pipelines? Weβre looking for a Data Engineer to join a dynamic team supporting high-impact initiatives in the insurance domain. If you thrive in fast-paced environments and love building systems that power analytics and decision-makingβthis is your next opportunity.
Key Responsibilities
β’ Design, implement, and maintain robust data pipelines across staging, bronze, silver, and gold layers
β’ Develop and optimize Azure Data Factory workflows and Databricks notebooks
β’ Build tabular models using Azure Analysis Services; deploy and schedule cubes via Azure Automation Runbook
β’ Create and maintain SSAS cubes, KPIs, and data mining models for large-scale BI environments
β’ Collaborate with cross-functional teams to translate business needs into technical solutions, especially for actuarial and insurance analytics
Must-Have Technical Skills
β’ Azure Data Factory (ADF), Azure Databricks, Azure Analysis Services (SSAS), Azure Data Lake Analytics/Store
β’ SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS)
β’ Strong ETL design and data transformation experience between heterogeneous systems
β’ Solid understanding of data warehousing principles, normalization/de-normalization, and big data architecture
β’ Ability to use tools like PySpark, MongoDB, Azure SQL, and DBT for data development and orchestration
Preferred Domain Knowledge
β’ Experience with actuarial tools or insurance/reinsurance data (placements, treaties, client hierarchies, renewal workflows)
β’ Understanding of actuarial rating inputs and outputs, including exposure/experience data, program structures, and downstream reporting
β’ Proven ability to support data needs for actuarial analytics and broker tools
What Sets You Apart
β’ Agile/Scrum experience and ability to work both independently and collaboratively
β’ Excellent documentation, technical writing, and interpersonal skills
β’ Strong analytical thinking and decision-making skills in complex environments
Why Join Us
β’ Work on impactful data projects that directly support analytical insights and business growth
β’ Collaborate with high-caliber professionals in a fast-paced, agile setting
β’ Competitive hourly pay and hybrid work flexibility
Apply Today!
If youβre ready to take the next step in your career and meet the qualifications, weβd love to hear from you.
Skills: azure databricks,data transformation,data,sql server reporting services,analysis services,analytics,etl design,dbt,sql,insurance,azure data lake analytics/store,pyspark,building,mongodb,data warehousing principles,azure sql,skills,azure,big data architecture,cubes,agile,sql server integration services,azure data factory,azure analysis services