Vice President Data Engineering Apprenticeship Jobs

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 Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This role is engaged and aligned with our business partners to understand their needs and build data engineering solutions to address these needs. The role will report to the VP, Data Solutions Engineering.

This role will be based in our Jersey City, NJ office on a hybrid basis.

What You Will Do:

• Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers.
• Partner with business teams to design data solutions with the ability to mentor early career data engineers.
• Lead build-out and deployment of data pipelines.
• Ensure reliability, scalability and governance of data pipelines.

What You Will Have:

• Bachelor's degree in Math, Computer Science or Engineering.
• Strong understanding of ETL/ELT, APIs, Cloud (AWS preferred) data operations, including experience with data integration platforms (Foundry preferred).
• Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry.
• Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL.
• Robust knowledge of data lakes, data governance and modern data quality techniques.
• Excellent analytical, problem solving and conceptual skills.
• Strong verbal and written 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 $180,000 — $200,000 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.