Data Engineer - Hybrid: Insurance Data Pipelines

CURE Auto Insurance; Princeton (NJ); Hybrid; USD 70,000 - 120,000; Full time

Benefits offered by this job

Health and dental coverage

Life and disability insurance

401(k) with company match

Generous PTO

Flexible spending accounts (FSA/HSA)

Employee Assistance Program (EAP)

Job summary

CURE Auto Insurance is seeking a Data Engineer in Princeton, NJ to design, build, and maintain scalable data pipelines, integrate core insurance data, and curate analytical datasets for analytics and reporting.

You will partner with actuarial, underwriting, claims, product, and finance teams to ensure data quality, governance, and secure access across the data platform, supporting loss modeling, fraud detection, and customer insights.

Qualifications

• Bachelor's degree in computer science or technology related is preferred.
• 3+ 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).

Responsibilities

• 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.

Skills

SQL

Data pipelines

Python/Scala/Java

Data modeling

Data warehousing

Data quality/testing

Security basics (PII)

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

BigQuery

Redshift

Databricks

Spark

dbt

Great Expectations

Job description

CURE Auto Insurance is seeking a Data Engineer in Princeton, NJ to design, build, and maintain scalable data pipelines, integrate core insurance data, and curate analytical datasets for analytics and reporting.

You will partner with actuarial, underwriting, claims, product, and finance teams to ensure data quality, governance, and secure access across the data platform, supporting loss modeling, fraud detection, and customer insights.