Data Engineer

Citizens United Reciprocal Exchange; Pennsylvania; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Generous paid time off

Flexible spending options

401(k) with company match

Health & wellness perks

Employee Assistance Program

Job summary

A leading auto insurance provider is hiring a Data Engineer to design and maintain reliable data pipelines that support analytics and reporting across their operations. The ideal candidate will have a Bachelor's degree in computer science, 3+ years of experience in data engineering, and strong SQL skills. This role offers a competitive salary and comprehensive benefits, along with a hybrid work schedule. Join a collaborative team dedicated to quality data management and innovative solutions.

Qualifications

• 3+ years of experience in data engineering with strong SQL skills.
• Experience with modern data warehouses/lakehouses.
• Familiarity with data quality/testing and monitoring patterns.

Responsibilities

• Design, build, and maintain reliable data pipelines.
• Integrate data from core insurance systems.
• Collaborate with teams to deliver governed data.

Skills

Data engineering

SQL

Python

Machine learning

Education

Bachelor's degree in computer science or technology related

Tools

Snowflake

BigQuery

Kafka

Databricks

Job description

About CURE Auto Insurance

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!

Role Overview

We’re looking for a DataEngineerto design, build, and maintain reliabledatapipelines and platforms that power analytics, reporting, anddataproducts across a Property & Casualty (P&C) auto insurance business. You’ll partner with actuarial, underwriting, claims, product, finance teams to deliver trusted, well-governeddatathat 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

• Generous paid time off(PTO days, sick days, and holidays)
• Flexible spending optionswith FSA & HSA plans
• Life and AD&D insurance
• 401(k) with company match
• Voluntary benefitssuch as legal services, pet insurance, and identity & fraud protection
• 24/7 Employee Assistance Program (EAP)for employees and their families
• Health & wellness perksincluding gym discounts, wellness reimbursements, and reward programs
• Fun, engaging in-office eventsthat 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

$100,000 - $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

EEO Statement

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.

Equal Employment Opportunity

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.

Disclaimer

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

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.

Authorization

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.