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# Data Engineer

- **Company:** CURE Auto Insurance (Citizens United Reciprocal Exchange)
- **Location:** Rocky Hill, NJ, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $90,000.0 - $120,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), BigQuery, Code Review, Continuous Integration, Information Engineering, Data Security, Data Warehousing, Database Queries, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Performance Tuning, Role-Based Access Control, Data Streaming, Great Expectations (Foster Youth College-readiness and Support Program), Snowflake, Apache Spark, Data Lakes, Debezium, Information Technology, Apache Kafka, Machine Learning Operations, Stream Processing, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 9, 2026
- **Apply:** https://www.disabledperson.com/jobs/75919286-data-engineer

## About the Role

* 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).

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., 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., 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.

## Description

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., * 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.