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NJ CURE

Data Engineer

Princeton, NJ, United States

$70,000 to $120,000 USD / year

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Job details

Pay: $70,000 to $120,000 USD / year
Experience: 3+ years of experience in data engineering, Machine learning, with strong SQL skills and experience building dimensional or analytical models.
Posting language: English

Original job description

Data Engineer 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.

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

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.

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More about this job

Skills

Underwriting
Fraud detection
Customer experience
Statistical quality control
Regulatory compliance
Incident response
Root cause analysis
CI/CD
Infrastructure as code
Documentation
Computer science
Data engineering
Machine learning
SQL
Python
Scala
Oracle Java
Snowflake
BigQuery
Amazon Redshift
Databricks
Apache Spark
dbt
Apply information security policies
Apache Kafka

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