Senior Associate, Data Solutions Engineering

Fortitude Re

. Design and deliver strategic data solutions using modern data engineering principles according to business requirements .

Posted 10/5/2026full-timeRemote • United StatesSenior💰 $125,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and delivering strategic data solutions, optimizing data ingestion and transformation processes, and implementing automation within an agile DevOps environment. Proficient in data governance, data quality techniques, and mentoring early-career professionals.

Highest-signal resume keywords

Data Engineering PrinciplesPython ProgrammingSQL ProficiencyETL/ELT UnderstandingData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData PipelinesData LakesDebuggingTroubleshootingData Quality TechniquesAgile DevelopmentAutomationData Architecture

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsMentoringCollaboration

Tools & Technologies

DevOpsCloud TechnologiesData AnalyticsData Visualization

Industry Keywords

ActuarialInvestmentFinanceInsuranceReinsurance

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Design and deliver strategic data solutions using modern data engineering principles according to business requirements
Independently implement and optimize data ingestion and transformation jobs
Deliver incremental datasets for downstream consumption
Champion automation and operate in an agile development environment using DevOps principles
Evaluate and improve existing data pipelines
Recommend future-state architectures that improve scalability, performance, and maintainability
Collaborate with data platform engineering, data governance, data science, and data analytics/visualization teams
Support and mentor early-career professionals
Contribute to team knowledge through best-practice sharing
Provide operational support, runbooks, and documentation

Requirements

What you’ll need

Bachelor's degree in Math, Computer Science, Engineering or similar field
Understanding of ETL/ELT, cloud, and data operations
Minimum four years of programming experience using Python, Julia and/or R
Proficiency 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 the Insurance/Reinsurance industry is a plus

Benefits

Comp & perks

Annual bonus based on company and individual performance
Generous benefits package
Inclusive and belonging-focused company culture
Equal opportunity employment