CURE Auto Insurance (Citizens United Reciprocal Exchange) · 6 hours ago
Data Engineer
CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. They are seeking a Data Engineer to design, build, and maintain reliable data pipelines and platforms that support analytics and reporting across their auto insurance business.
Auto InsuranceInsurance
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
Qualification
Required
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)
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
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
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
Company
CURE Auto Insurance (Citizens United Reciprocal Exchange)
At CURE, we don’t need reform to do what’s right.
Funding
Current Stage
Growth StageLeadership Team
Recent News
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