Pay
Lower than most similar jobs
$121K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
Princeton, United States
Actively hiring, first seen by us 1 day ago- Pay
$120,700/year — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Location: Princeton, NJ, United States Job Type: Full-Time Salary Range: $120,700 to $120,700 per year
Read the full posting
What you’ll work on
Full postingLead design and implementation of ML and LLM classification workflows for legacy/latent claims
Extract, transform and model claims data from complex databases into good-quality datasets
Own dashboards, dataflows, code repositories and data pipelines for outlier reporting
Align technical implementations with organizational policies and regulatory requirements with IT and governance teams
From the employer’s posting
Lead the design and implementation of ML–LLM classification AI workflows for legacy/latent claims
Work with various complex databases containing data from multiple sources, at various granular levels, to deliver data of good quality
Own end-to-end responsibility of dashboards, dataflows, code repositories and data pipelines that enable outlier reporting
Partner with IT and governance teams to align technical implementations with organizational policies and regulatory requirements
Posting record
Report an errorActively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 3, 20261 day ago
- Recorded sightings
- 2
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
Munich Re is hiring
19 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 5% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- Databricks
- Power BI
- SAP
- SQL Server
Where the posting names them
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).
Your next step
Complete your application on careers.munichre.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
- Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Already applied? Track this application
Has Munich Re posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since October 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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).
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Princeton, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.