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AVP, Data Engineer-Philadelphia or Whitehouse Station, NJ

Job in Philadelphia, Philadelphia County, Pennsylvania, 19102, USA
Listing for: Staffing
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Data Engineering
Job Description & How to Apply Below

AVP Data Engineer

Location:

Philadelphia, PA or Whitehouse Station, NJ. Hybrid role 3 days in office Duration: 6 months + CTH

Client team is a small, agile group of technology enthusiasts. We are tasked with solving the complex data needs of both US and International reserving and pricing actuaries. Our group is responsible for collating data from several disparate systems and platforms to provide analytic solutions for the world's largest publicly traded property and casualty insurer. Our systems are the foundation for the loss triangles which are reported externally and ensure we have the capital to pay future claims.

This position is for a full-time AVP Data Engineer in either our Philadelphia, PA or Whitehouse Station, NJ office.

What You'll Be Working On
  • Expanding our new claim data warehouse responsible for producing actuarial loss triangles
  • Implementing BI processes so end users can quickly and easily derive value from billion row datasets
  • Creating of new ETL process to accurately stitch data together
  • Helping to design the future cloud architecture and migration of the warehouse
  • Investigating, diagnosing, and actioning on business questions and requests
  • Direct handling of production support and maintenance of existing financial feeds
  • Delivering solutions on time and within budget, meeting both internal change management standards and external SOX controls
Qualifications

Microsoft SQL Server guru with strong data warehousing fundamentals

Fluency in other databases, coding languages (eg R, Python, .NET), and BI solutions (eg Shiny, Cognos, PowerBI)

Proficient in Dev Ops tools (GIT, Jenkins, Octopus)

Adept in Agile project management ideologies

Extensive technical analysis and investigative capabilities

Strong communication skills, comfortable interfacing with senior business users

Financial/actuarial data, application, or practical experience a plus

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