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Senior Associate, Data Solutions Engineering

đź•’ October 21

🇺🇸 United States – Remote

đź’µ $125k - $140k / year

⏰ Full Time

đźź  Senior

📊 Analytics Engineer

Where this job comes from

Posted on Fortitude Re's careers page, not through a job board

First seen by Remote Rocketship October 21

Still open on Fortitude Re's site. Checked 1 hour ago.

Logo of Fortitude Re

Fortitude Re

201 - 500 employees

🛡️ Insurance

đź’¸ Finance

⚕️ Healthcare Insurance

Insurance • Finance • Healthcare Insurance

Fortitude Re is a reinsurance company that specializes in helping insurance companies around the world address their complex risk transfer challenges. The firm designs and delivers customized solutions for legacy Life & Annuity and Property & Casualty (P&C) insurance lines. Backed by experienced investor groups including The Carlyle Group and T&D Insurance Group, Fortitude Re prides itself on its leadership with over 20 years of industry experience to effectively manage legacy liabilities. Fortitude Reinsurance Company Ltd. , along with its subsidiaries, operates globally with a significant presence in Hamilton, Bermuda.

đź“‹ Description

• 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

• 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

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

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