Data Engineer

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

Information Technology Full Time Non-Exempt Princeton, NJ, US

Salary Range: $70,000.00 To $120,000.00 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.

Experience/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).

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.

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: $70,000 - $120,000 annually based on experience

Schedule: We offer flexible work hours between 8:00 AM and 5:00 PM, with options like 8–4, 8:30–4:30, or 9–5. We do our best to support individual preferences, though schedules may be adjusted as needed to ensure strong coverage and teamwork.

We also offer a hybrid schedule: team members work onsite four days a week and can work remotely one day a week.

Location

Princeton, NJ

We recruit, hire, employ, train and promote, and compensate individuals based on job-related qualifications and abilities. We respect the dignity and worth of each individual and are committed to an employment environment that is free from all forms of employment discrimination.

CURE Auto Insurance provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, pregnancy, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Disclaimer : This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. This job description may be subject to change at any time.

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.