Hybrid Senior Data Engineer

Posted 2 weeks ago

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About the role

  • Develop and maintain scalable data pipelines and ETL processes to support reinsurance processing, actuarial analysis, and reporting.
  • Build automated data pipelines with tools like Airflow and MLflow that serve advanced statistical models and track key metrics.
  • Assess new data sources and techniques.
  • Mentor junior engineers and collaborate with various teams.
  • Consult with cross-functional team partners to understand business needs and develop reliable and effective solutions that are easily maintainable.
  • Use Enterprise GitHub for version control, documentation, code collaboration, and technical project management.
  • Regularly engage in continuing education, including the development of MLOps and Cloud Engineering skills as well as Insurance Business proficiency.
  • Present developments in data and analytics forums.

Requirements

  • Candidates must be authorized to work in the US without company sponsorship
  • Bachelors degree and 5+ years of experience with Informatica data pipelines and automation
  • Knowledge of Ceded Reinsurance business is a must
  • Experience in on-premises to cloud migration of data pipelines, modernizing them to leverage full cloud potential
  • Proficient with Glue Job on AWS
  • Experience using Gen AI solutions to automate data engineering pipelines preferred
  • Proficient in at least one programming language, such as Java or Python
  • Strong expertise in Systems Architecture
  • 5+ years of deep practical experience in the role, with repeated experience performing business analysis in a variety of complex situations
  • Working knowledge of the ProCede application suite or similar Ceded Reinsurance system is a big plus
  • Experience in the conversion/migration of Policy/Claim Admin into ProCede or similar Ceded Reinsurance system
  • Ability to effectively interact with all levels of the organization (from entry-level end-users to senior management) and demonstrate strong leadership skills
  • Experience working in multi-source offshore delivery centers and shared services environments is a plus
  • Experience in Agile development, including prioritizing, creating/updating features and stories, and Test-Driven Development
  • Able to communicate effectively with both technical and non-technical teams
  • Strong experience with AWS Services (e.g., S3, EMR, AWS Batch, etc.).

Benefits

  • Other rewards may include short-term or annual bonuses
  • long-term incentives
  • on-the-spot recognition

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

$117,200 - $175,800 per year

Degree requirement

Bachelor's Degree

Location requirements

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