Data Engineer

NJ CURE • Princeton, NJ

1d • $90,000 - $120,000 • Hybrid

About The Position

CURE Auto Insurance is seeking a Data Engineer to design, build, and maintain reliable data pipelines and platforms that support analytics, reporting, and data products within a Property & Casualty (P&C) auto insurance business. The role involves partnering with actuarial, underwriting, claims, product, and finance teams to deliver trusted, well-governed data crucial for retention, loss modeling, fraud detection, and enhancing customer experience.

Requirements

• 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).
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

• 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.

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.

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
• Voluntary benefits such as legal services, pet insurance, and identity & fraud protection
• 24/7 Employee Assistance Program (EAP) for employees and their families
• Health & wellness perks including gym discounts, wellness reimbursements, and reward programs
• Fun, engaging in-office events that support our culture

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level