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Data Developer w' P&C Insurance
Data Developer w' P&C InsuranceConnvertex Technologies Inc. • Nyc, NY, United States
Data Developer w' P&C Insurance

Data Developer w' P&C Insurance

Connvertex Technologies Inc. • Nyc, NY, United States
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Data Developer with Snowflake, P&C Insurance, Data Engineering, Python, and TALEND

Role Overview

We are seeking an experienced Data Developer / Data Engineer with strong insurance domain expertise to design, develop, and maintain scalable data solutions supporting analytics, reporting, and operational use cases. This role requires hands-on experience with modern cloud data platforms-including Snowflake-and strong programming skills in Python, along with deep understanding of insurance data.

The ideal candidate will bridge technical data engineering capabilities with insurance business knowledge to deliver high-quality, reliable data assets.

Key Responsibilities

  • Design, build, and maintain end-to-end data engineering pipelines (ETL / ELT) for insurance data
  • Develop and optimize data solutions using Snowflake as a cloud data warehouse
  • Use Python to support data ingestion, transformation, automation, and orchestration
  • Integrate data from core insurance systems (Policy, Claims, Billing, Underwriting, Reinsurance)
  • Model insurance data for analytical, actuarial, financial, and regulatory reporting use cases
  • Write complex, high-performance SQL queries and transformations
  • Ensure data quality, validation, lineage, and governance standards
  • Collaborate with business stakeholders, analysts, and architects to translate insurance requirements into technical solutions
  • Troubleshoot and resolve data pipeline, performance, and data integrity issues
  • Document data models, pipelines, and best practices

Required Qualifications

  • 5 years of experience in Data Development or Data Engineering roles
  • Strong insurance domain experience (P&C, Life, Health, or Specialty Insurance)
  • Hands-on experience with Snowflake (data modeling, performance tuning, security, cost optimization)
  • Advanced SQL skills
  • Proficiency in Python for data processing and automation
  • Experience building and maintaining scalable data pipelines
  • Strong understanding of insurance data concepts (policies, premiums, claims, losses, exposures)
  • Experience working with large, complex datasets
  • Strong analytical, troubleshooting, and communication skills

    • Preferred / Nice-to-Have Skills

  • Cloud platforms : Azure, AWS, or GCP
  • Azure Data Factory, Azure Data Lake, Databricks, Synapse
  • Experience with orchestration tools (Airflow, Azure Data Factory, dbt, or similar)
  • Familiarity with BI and reporting tools (Power BI, Tableau, Looker)
  • Experience with insurance platforms such as Guidewire, Duck Creek, Majesco
  • Knowledge of data governance, metadata management, and regulatory reporting
  • Experience working in Agile / Scrum environments

    • Education

    Bachelor's degree in Computer Science, Data Engineering,Information Systems, or a related field (or equivalent experience)

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