Sr. Associate, Data Solutions Engineering

Fortitude Re; Jersey City (NJ); Remote; USD 125,000 - 140,000; Full time

Job summary

Fortitude Reinsurance Company Ltd. (Fortitude Re) is seeking a Senior Associate, Data Solutions Engineering to design robust data pipelines and data transformations, with ownership of end-to-end processing on modern platforms.

Based remotely, you will mentor junior engineers, optimize pipelines, and collaborate across data governance, data science, and analytics to deliver compliant, reusable solutions. The role emphasizes independence, DevOps practices, and strong communication as you

Qualifications

• Bachelor's degree in Math, Computer Science, Engineering or similar field.
• Understanding of ETL/ELT, cloud, data operations.
• Domain knowledge of Actuarial, Investment, or Finance within Insurance/Reinsurance is a plus.
• 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.

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

Python

SQL

Julia

R

Data analysis

Communication

Education

Bachelor's degree in Math, Computer Science, Engineering or similar field

Tools

ETL/ELT

Cloud platforms

Data governance

Data lakes

Job description

Fortitude Reinsurance Company Ltd. (Fortitude Re) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. Fortitude Re manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. 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. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry.

The Senior Associate, Data Solutions Engineering will be responsible for developing robust data pipelines, implementing data transformations and providing operational support, runbooks and documentation. This role will contribute to well-governed data solutions that automate application and data flows while enabling end-to-end processing on modern data platforms. This role places greater emphasis on independently designing solutions, proactively identifying optimizations, and mentoring junior team members. This role will report to the VP or AVP, Data Solutions Engineering.

This role will be based remotely.

What You Will Do:

• 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.

What You Will Have:

• Bachelor's degree in Math, Computer Science, Engineering or similar field.
• Understanding of ETL/ELT, cloud, data operations.
• Domain knowledge of Actuarial, Investment, or Finance within Insurance/Reinsurance industry is a plus.
• 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.

The base salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Base Salary Range: $125,000 USD - $140,000 USD

At Fortitude Re, our strength has always come from our people. Our success is deeply rooted in our ability to embrace the unique attributes, perspectives and experiences of every individual within our company. Fostering a culture of inclusion and belonging where everyone—regardless of background, race, religion, sexual orientation or gender identity—feels valued and respected is a foundation of our culture.

We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law.