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# Senior Azure Data Engineer Insurance/Reinsurance Analytics

- **Company:** Macpower Digital Assets Edge LLC
- **Location:** Princeton, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Microsoft Azure, Big Data, Databases, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Warehousing, SQL Azure, MongoDB, Scrum Methodology, Power BI, Azure Data Lake, Runbook, Software Engineering, SQL Server Reporting Services, SQL Server Integration Services, SQL Server Analysis Services, Data Streaming, Unstructured Data, Azure Automation, Azure Data Factory, Data Build Tool (dbt), Data Lakes, Pyspark, Cloud Integration, Stream Analytics, Data Pipelines, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/cc73fcba-c809-49af-9982-942e5800d2b6/senior-azure-data-engineer-insurancereinsurance-analytics

## About the Role

* Proven experience in implementing Microsoft BI/Azure BI solutions including ADF, Databricks, SSAS, SSIS, and SSRS.
 * Strong understanding of Azure Big Data technologies (ADLS, ADF, Data Lake Analytics) and data movement using U-SQL jobs.
 * Expertise in data warehouse development from inception to deployment, using normalization and denormalization techniques.
 * Experience developing data lake layers (staging, bronze, silver, gold) for structured and unstructured data ingestion and curation.
 * Skilled in developing notebooks in Databricks to support ETL workflows and data transformation.
 * Experienced in building and deploying Azure Analysis Services tabular models and automating scheduling using Azure Automation Runbooks.
 * Deep knowledge in developing SSAS cubes (tabular and multidimensional), aggregations, KPIs, partitions, and data mining models.

Preferred Domain Knowledge (Insurance/Reinsurance):

 * Familiarity with reinsurance broking data including placements, treaty structures, client hierarchies, and renewals.
 * Understanding of actuarial rating data inputs and outputs exposures, experience data, layers, and tagging structures.
 * Experience building data pipelines that support actuarial models, pricing tools, and client-facing reporting.

Soft Skills & Team Collaboration:

 * Strong analytical and interpersonal skills with a clear understanding of the Software Development Life Cycle (SDLC).
 * Experience working in Agile/SCRUM methodologies.
 * Proven ability to work independently and collaboratively to meet business objectives.
 * Effective communication and technical documentation skills.
 * Excellent decision-making ability in high-pressure or complex situations.

Must-Have Qualifications:

 * 5 years of experience with Microsoft Azure BI and Big Data technologies.
 * Demonstrated experience with Azure Data Factory, Databricks, and SSAS.
 * Hands-on in ETL design and development, especially across heterogeneous systems.
 * Practical knowledge of data warehouse architecture and multi-layer data lake modeling.
 * Experience in the insurance or actuarial domain is a strong advantage.

## Description

* 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 (Data Build Tool)

Databases:

 * Azure SQL
 * MongoDB
 * PySpark