Techgene Solutions

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Warren, NJ, onsite 5 days a week, with a mid to senior level experience requirement. Key skills include P&C Insurance expertise, Claims data handling, SQL, and ETL/ELT tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Warren County, NJ
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🧠 - Skills detailed
#Data Engineering #Compliance #Data Integration #Scala #Datasets #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Governance #Security #Data Pipeline
Role description
Position Title: Data Engineer Location: Warren, NJ (Onsite – 5 Days/Week) Work Schedule: Monday–Friday, 9:00 AM – 5:00 PM Experience Level: Mid to Senior Level Job Summary We are seeking a skilled Data Engineer with strong experience in the Property & Casualty (P&C) Insurance domain, specifically working with Claims data. The ideal candidate will be responsible for building and maintaining scalable data pipelines, supporting analytics initiatives, and ensuring high-quality, consumption-ready insurance data for business stakeholders. Key Responsibilities β€’ Design, develop, and maintain robust data pipelines for claims and insurance datasets β€’ Work closely with claims, underwriting, and analytics teams to support business needs β€’ Perform data integration, transformation, and validation across multiple source systems β€’ Optimize performance and reliability of enterprise data workflows β€’ Ensure compliance with data governance, quality standards, and security policies β€’ Support reporting and downstream data consumption across insurance platforms Required Qualifications β€’ Mid to senior-level experience as a Data Engineer β€’ Strong background in P&C Insurance β€’ Hands-on experience working with Claims data β€’ Expertise in SQL and data warehousing concepts β€’ Experience with ETL/ELT tools and modern data engineering practices β€’ Strong communication and collaboration skills