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Fortitude Re

Senior Associate, Data Solutions Engineering

Fortitude Re

. Develop robust data pipelines .

Posted 10/21/2026full-timeRemote • United StatesSenior💰 $125,000 - $140,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and optimizing data pipelines, implementing data transformations, and applying modern data engineering principles. Proficient in SQL and programming languages such as Python, Julia, and R, with a strong understanding of ETL/ELT processes and data governance.

Highest-signal resume keywords
Data Pipeline DevelopmentETL/ELT ProcessesSQL ProficiencyPython ProgrammingData Governance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DevelopmentData TransformationSQLPythonJuliaRETLData LakesData Quality TechniquesDebugging
Soft Skills
Analytical SkillsProblem SolvingCommunication SkillsDetail-OrientedMentoring
Tools & Technologies
DatabricksDagsterDBTCloud TechnologiesData Operations
Industry Keywords
ActuarialInvestmentFinanceInsuranceReinsurance

Tech Stack

Tools & technologies
CloudETLPythonSQL

About the role

Key responsibilities & impact
  • Develop robust data pipelines
  • Implement data transformations
  • Provide operational support, runbooks and documentation
  • Design and deliver strategic data solutions using modern data engineering principles
  • Independently implement and optimize data ingestion/transformation jobs
  • Deliver incremental datasets for downstream consumption
  • Champion automation and apply DevOps principles in an agile development environment
  • Evaluate and improve existing data pipelines
  • Recommend future-state architectures that increase scalability, performance, and maintainability
  • Collaborate with data platform engineering, data governance, data science, and data analytics/visualization teams
  • Support and mentor early career professionals
  • Report to the VP or AVP, Data Solutions Engineering

Requirements

What you’ll need
  • Bachelor's degree in Math, Computer Science, Engineering or similar field
  • Understanding of ETL/ELT, cloud, data operations
  • Minimum four years of experience in programming (Python, Julia and/or R)
  • Proficient in SQL
  • Robust knowledge of data lakes, data governance and modern data quality techniques
  • Experience with Databricks and/or Dagster and/or DBT preferred
  • 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

Benefits

Comp & perks
  • Annual bonus based on company and individual performance
  • Generous benefits package