Salary
$150k – $165k per year
Location
Hybrid (Jersey City, United States)
Seniority
Senior
Employment
Full-Time
First seen by Alion on Oct 23, 2026.
Overview
Company
Impact
Profile match
Fortitude Re is Bermuda's largest multi-line reinsurance company with deep expertise in executing bespoke transactional solutions for legacy Life & Annuity and P&C lines. Backed by a consortium of sophisticated, long-term oriented institutional investors led by The Carlyle Group and T&D Insurance Group, Fortitude Re's strong capital base and unique heritage allow us to focus on comprehensive, transformational deals for large, complex multinational insurers. Fortitude Re's leadership team has an average industry tenure of over 20 years and an impressive track record of successfully managing the most complex legacy liabilities.
Fortitude Re is hiring a Senior Associate, Data Solutions Engineering to develop and operate governed data pipelines and modern data solutions. The role independently designs and optimizes data flows, improves pipeline architectures, and collaborates across teams while mentoring junior professionals.
Responsibilities
- Design and deliver strategic data solutions using modern data engineering principles per business requirements
- Independently implement and optimize data ingestion/transformation jobs and deliver incremental datasets for downstream consumption
- Champion automation and operate in an agile development environment while applying DevOps principles
- Evaluate and improve existing data pipelines, recommending future-state architectures that increase scalability, performance, and maintainability
- Collaborate across the function- partnering with data platform engineers, data governance, data science, and data analytics/visualization peers, to ensure solutions are robust, compliant, and reusable
- Support and mentor early career professionals by sharing best practices and contributing to team knowledge
Skills
- Bachelor‘s degree in Math, Computer Science, Engineering or similar field
- Understanding of ETL/ELT, cloud, data operations
- Minimum experience of four years in programming (Python, Julia and/or R) and proficient in SQL
- Robust knowledge of data lakes, data governance and modern data quality techniques
- Detail-oriented debugging and troubleshooting
- Excellent analytical, problem solving and conceptual skills
- Strong verbal and written communication skills
- Domain knowledge of Actuarial, Investment, or Finance within Insurance/Reinsurance industry is a plus
- Experience with Databricks and/or Dagster and/or DBT preferred
Benefits
- All employees are eligible for an annual bonus based on company and individual performance.
- This role will be based in our Jersey City, NJ office on a hybrid basis.
Company Overview
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