Senior Data Engineer
- Princeton, NJ, United States
$120,700 USD / year · Full-time
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Job details
- Pay
- $120,700 USD / year
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Company: Munich Reinsurance America, Inc.
Position: Senior Data Engineer
Location: Princeton, NJ, United States
Job Type: Full-Time
Salary Range: $120,700 to $120,700 per year
Duties: Lead the design and implementation of ML–LLM classification AI workflows for legacy/latent claims and topic detection algorithms. Provide leadership & analytics with a focus on Claims data that resides in reinsurance and insurance systems for reports and analysis. Lead data extraction, interpretation, architecting, modeling and transformation of business logics. Work with various complex databases containing data from multiple sources, at various granular levels, to deliver data of good quality for use in analytics and visualization projects. Own end-to-end responsibility of dashboards, dataflows, code repositories and data pipelines that enable outlier reporting and decision-making across the organization. Partner with IT and governance teams to align technical implementations with organizational policies and regulatory requirements.
Requirements: Master’s degree in Data Science, Statistics, Computer Science or related field plus 2 years of experience as a Data Scientist, Data Engineer or closely related position involving data modeling focused on the reinsurance/insurance field. Prior experience must include: Data curation and data pipelines development of internal and external reinsurance and insurance claims data; Data wrangling and curation in Databricks using Python, SQL and R; Development of data products together with data assets to produce business units dashboards for descriptive analytics focused on reinsurance and insurance claims systems; Utilizing Power BI Desktop, Dataflows and App for creating dashboards; Using FSRI package offered by SAP for insurance and reinsurance business; Using SQL Server Management Studio; Development of AI and LLM workflows to analyze and extract insights from claims data; Implementation of Machine Learning and Nature Language Processing algorithms; and, development of semantic data models and data architectures to support scalable analytics, reporting and BI solutions. May telecommute but must have ability to report to the Princeton, NJ office 3 times per week.
Benefits: Opportunity for company bonus based upon a percentage of eligible pay. In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
More about this job
Skills
- ML
- Leadership
- Reporting
- Decision making
- Statistics
- Computer science
- Data modelling
- Databricks
- Python
- SQL
- R
- Microsoft Power BI
- SAP
- Microsoft SQL Server
- Machine learning
- Data models