Full Time Role - Data Engineer with P&C exp (Hybrid) - NJ

Hybrid in Princeton, NJ, US • Posted 1 day ago • Updated 20 hours ago
Full Time
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Databricks
  • Data Engineering
  • Data Lake
  • Data Quality
  • Data Security
  • Data Warehouse
  • Finance
  • Continuous Delivery
  • Apache Spark
  • Apache Kafka
  • Amazon Redshift
  • Continuous Integration
  • Insurance
  • Java
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Modeling
  • Property And Casualty Insurance
  • Python
  • Performance Tuning
  • Scala
  • SQL
  • Reinsurance
  • Regulatory Compliance
  • Incident Management

Summary

Role: Data Engineer with P&C exp (Hybrid 4 Days Onsite/ Week)

Auto Insurance Client:

Location: Princeton, NJ

Duration: Full Time

Job Summary:

We re looking for a Data Engineer to design, build, and maintain reliable data pipelines and platforms that power analytics, reporting, and data products across a Property & Casualty (P&C) auto insurance business. You ll partner with actuarial, underwriting, claims, product, and finance teams to deliver trusted, well-governed data that supports retention, loss modelling, fraud detection, and customer experience.

Essential Job Functions:

  • Build and maintain scalable batch and streaming data pipelines (ingestion, transformation, validation, and delivery).
  • Integrate data from core insurance systems (policy administration, billing, claims, Contact management system).
  • Model and curate analytical datasets (e.g., policy, quote, exposure, premium, loss, claim, payment, reserve, subrogation, salvage).
  • Implement data quality checks, anomaly detection, and reconciliation for critical metrics
  • Develop and maintain a data lake/warehouse (schema design, partitioning, performance tuning, cost optimization).
  • Collaborate with governance, security, and compliance teams to implement access controls, PII handling, retention, and auditability.
  • Operate data workflows in production: monitoring, alerting, incident response, SLAs, and root-cause analysis.
  • Contribute to engineering best practices: CI/CD, infrastructure-as-code, testing, code reviews, and documentation.
  • Perform other duties as assigned.

Experience/Qualifications:

  • Bachelor's degree in computer science or technology related is preferred.
  • 5+ years of experience in data engineering, Machine learning, with strong SQL skills and experience building dimensional or analytical models.
  • Proficiency in at least one programming language: Python, Scala, or Java.
  • Experience with modern data warehouses/lakehouses (e.g., Snowflake, BigQuery, Redshift, Databricks, Spark).
  • Familiarity with data quality/testing (e.g., dbt tests, Great Expectations) and observability/monitoring patterns.
  • Understanding of data security fundamentals (PII, encryption, role-based access control).


Preferred

  • Experience in insurance, financial services, or other regulated industries
  • Knowledge of P&C auto insurance concepts: underwriting, rating/pricing, claims lifecycle, reserves, exposure, reinsurance is a plus
  • Knowledge with event/streaming systems (Kafka, Kinesis, Pub/Sub) and CDC tools (Debezium, Fivetran/HVR, etc.).
  • Exposure to MLOps/data needs for fraud detection, pricing, or claims severity models is a plus.

Benefits

  • Comprehensive health benefits including medical, dental and vision coverage
  • Generous paid time off (PTO days, sick days, and holidays)
  • Flexible spending options with FSA & HSA plans
  • Life and AD&D insurance
  • 401(k) with company match

Best Regards

Kyle,

Sr. US IT Recruiter

Infinity Tech Group Inc,

12 N Route 17 Suite # 201 Paramus NJ 07652

(Office) Ext 327

Email:

LinkedIn:

Certifications: NMSDC / WBENC and MWBE Certified

Awards: Fast 50 Asian American businesses in USA

Partners: SAS Partner

New Jersey | Hyderabad | Chennai| Pune | London | New Hampshire

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: infnj003
  • Position Id: Kyl1373
  • Posted 1 day ago
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