Sr. Associate, Data Solutions Engineering

Fortitude Re is a provider of legacy reinsurance solutions for life, annuity, and property and casualty insurance lines. The Senior Associate, Data Solutions Engineering role develops robust data pipelines, implements data transformations, and provides operational support for governed data solutions. The position also independently designs and optimizes solutions, collaborates across data functions, and mentors junior team members.

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

Preferred

Domain knowledge of Actuarial, Investment, or Finance within Insurance/Reinsurance industry is a plus

Actuarial Knowledge

Investment Knowledge

Insurance/Reinsurance Industry Knowledge

Benefits

Annual bonus based on company and individual performance

Generous benefits package

Hybrid work arrangement in the Nashville, TN office

Company

Reinsurance solutions for legacy life, annuity, and P&C lines

Jersey City, New Jersey, USA

https://fortitude-re.com/

Founded in 2017

501-1000 employees

Qualifications

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

Minimum experience of four years in programming (Python, Julia and/or R) and proficient in SQL.

Required skills

Python, Julia, R, SQL, ETL/ELT, Cloud Computing, Data Lakes, Data Governance, Data Quality, Data Operations, Insurance/Reinsurance Domain Knowledge

Preferred skills

Verbal and Written Communication

Experience

4+ years