Remote Data Solutions Engineer — Build Pipelines

Socotra, Inc.

Northern (KY)

Remote

USD 110,000 - 170,000

Full time

4 days ago
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Job summary

Fortitude Reinsurance Company Ltd. (Fortitude Re) is seeking a Senior Associate, Data Solutions Engineering to develop robust data pipelines, transform data, and provide operating runbooks and documentation.

This remote role reports to the VP/AVP of Data Solutions Engineering and emphasizes independent design, optimization, and mentoring junior teammates. The position requires a strong background in Python/Julia/R and SQL, ETL/ELT, cloud exposure, and knowledge of data governance and quality

Qualifications

  • Bachelor's degree in Math, CS, Engineering or similar field.
  • 4+ years programming in Python, Julia and/or R with SQL proficiency.
  • Experience with ETL/ELT, cloud and data operations.
  • Domain knowledge in Insurance/Reinsurance is a plus.

Responsibilities

  • Design and deliver strategic data solutions using modern data engineering principles.
  • Independently implement and optimize data ingestion/transformation jobs for downstream consumption.
  • Champion automation and operate in an Agile DevOps environment.
  • Evaluate and improve existing data pipelines for scalability, performance and maintainability.
  • Collaborate with data platform, governance, science, analytics teams to ensure robust, compliant solutions.
  • Mentor early career professionals and share best practices.

Skills

Python
SQL
Julia
R
ETL/ELT
Cloud
Data governance
Data quality
Debugging
Communication
Analytical

Education

Bachelor's degree in Math/CS/Engineering

Tools

Data Lakes
DevOps

Job description

Fortitude Reinsurance Company Ltd. (Fortitude Re) is seeking a Senior Associate, Data Solutions Engineering to develop robust data pipelines, transform data, and provide operating runbooks and documentation.

This remote role reports to the VP/AVP of Data Solutions Engineering and emphasizes independent design, optimization, and mentoring junior teammates. The position requires a strong background in Python/Julia/R and SQL, ETL/ELT, cloud exposure, and knowledge of data governance and quality

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