Sr. Associate, Data Solutions Engineering

Fortitude Re
•$125,000 - $140,000•Remote

About The Position

The Senior Associate, Data Solutions Engineering develops robust data pipelines, implements data transformations, and provides operational support, runbooks, and documentation. The role contributes to well-governed data solutions that automate application and data flows and enable end-to-end processing on modern data platforms. It emphasizes independently designing solutions, proactively identifying optimizations, and mentoring junior team members. The position is remote and reports to the VP or AVP, Data Solutions Engineering.

Requirements

  • Bachelor's degree in Mathematics, Computer Science, Engineering, or a similar field.
  • Understanding of ETL/ELT, cloud, and data operations.
  • At least four years of programming experience with 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 skills.
  • Excellent analytical, problem-solving, and conceptual skills.
  • Strong verbal and written communication skills.

Nice To Haves

  • Domain knowledge in actuarial, investment, or finance within the insurance or reinsurance industry.
  • Experience with Databricks, Dagster, and/or DBT.

Responsibilities

  • Design and deliver strategic data solutions using modern data engineering principles based on business requirements.
  • Independently implement and optimize data ingestion and transformation jobs, delivering incremental datasets for downstream consumption.
  • Champion automation and work in an agile development environment while applying DevOps principles.
  • Evaluate and improve existing data pipelines and recommend future-state architectures that improve scalability, performance, and maintainability.
  • Collaborate with data platform engineering, 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.
  • Provide operational support, runbooks, and documentation for data solutions.

Benefits

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