4 insurance jobs found

Data Engineer (13494-1) Princeton, NJ Microsoft BI/Azure BI solutions like Azure Data Factory, Azure Databricks, Azure Analysis Services, SQL Server Integration Services, SQL Server Reporting Services,   If you post this job on a job board, please do not use company name or salary.  Experience level: Mid-senior Experience required: 10 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Insurance Pay rate : View hourly payrate Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Role : Data Engineer Location: Princeton 3 days a week Technical Skills: 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 Database Technologies:Azure SQL, MongoDB, PySpark Experience Required: Data Engineering  Experience...

Senior Fraud Risk Data Scientist San Jose, California, United States  Make your impact within a rapidly growing Fintech Company   We are looking for a detail oriented, enthusiastic and dedicated Senior Risk Data Scientist to join Bill’s Risk Data Innovation team with a focus on fraud risk. The incumbent will be working on data science projects related to key risk department initiatives. The data scientist will own key projects associated with predictive fraud detection, transaction risk modeling and fraud loss mitigation to support existing and new payment products. This individual will also design experiments to understand the impact of customer experience when leveraging machine learning in complex risk strategy changes. This position requires a person who has experience with developing machine learning models and performing advanced analytics preferably in the risk domain and also partnering with cross functional stakeholders.   We’d love...

Staff Data Warehouse Engineer San Jose, California, United States   Make your impact within a rapidly growing Fintech Company The Data Operations team builds capabilities and practices that support the usage of data across BILL. The team supports stakeholders across the company to understand their needs, collect applicable requirements, develop solutions, solicit feedback, deploy to the data ecosystem, and showcase the result. Engineers on the Data Operations team bring a sense of pragmatic perfectionism, doing their best work every day and delivering quality data products to those whom they support. Architect and maintain a scalable CDP aligned with GTM and sales objectives Design and implement robust ETL/ELT pipelines for efficient data processing, as necessary Integrate the CDP with CRM and marketing automation tools Ensure data quality, security, and governance across the platform Collaborate cross-functionally to translate business requirements into technical...

Role: L2 Database Administrator (DBA) – Oracle Hands‑on experience administering Oracle databases in production environments, including instance startup/shutdown, parameter tuning, and routine operational maintenance. Strong working knowledge of Oracle operational maintenance, including RMAN full and incremental backups, restore operations, archive log management, optimizer statistics gathering, and scheduled health checks. Ability to perform routine Oracle health diagnostics and remediation, including identifying tablespace and storage growth risks, validating database integrity, and proactively addressing common availability and performance issues. Ability to execute approved Oracle changes (installations, upgrades, PSU/patch application, and configuration updates) by following documented runbooks, validation steps, and rollback procedures. Working understanding of ITSM processes using ServiceNow, including Incident, Problem, Change, and Request Management, with...