Data Engineer
Listed on 2026-10-04
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IT/Tech
Data Engineering, Information Security & Data Protection
Salary Range: $90,000.00 To $ Annually
CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. CURE offers a great working environment, competitive salary, and comprehensive benefits package which includes health and dental coverage, life and disability insurance, 401k with generous company match, and much more!
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, finance teams to deliver trusted, well-governed data that supports retention, loss modeling, fraud detection, 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.
- 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/lake houses (e.g., Snowflake, Big Query, 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).
- 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.
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
Physical Actions/Environment :Required job duties consist of prompt and regular attendance, ability to frequently move about the office to coordinate work with others; standing, sitting and typing for extended periods; and lifting and/or carrying up to 5 lbs. Ability to frequently communicate with others in-person, on the phone/virtually, and in writing. Ability to read, understand, process and evaluate large amounts of technical information and make related, informed decisions.
Salary: $90,000 -…
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