Data Engineer

NJ CURE

$90K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in computer science or related technology field preferred.
  • 3+ years of experience in data engineering with strong SQL skills.
  • Proficiency in at least one programming language: Python, Scala, or Java.
  • Experience with modern data warehouses/lakehouses like Snowflake or BigQuery.
  • Familiarity with data quality/testing and observability patterns.
  • Understanding of data security fundamentals.

Responsibilities

  • Build and maintain scalable data pipelines for batch and streaming data.
  • Integrate data from core insurance systems effectively.
  • Model and curate analytical datasets from various sources.
  • Implement data quality checks and anomaly detection measures.
  • Develop and maintain a data lake/warehouse with performance optimization.
  • Collaborate with governance and compliance teams for data security.
  • Operate and monitor data workflows in production.

Benefits

  • Comprehensive health benefits including medical, dental and vision coverage.
  • Generous paid time off including PTO days and holidays.
  • Flexible spending options with FSA & HSA plans.
  • Life and AD&D insurance.
  • 401(k) with company match.
  • Voluntary benefits including legal services and pet insurance.
  • 24/7 Employee Assistance Program for employees and their families.
  • Health & wellness perks including gym discounts.
  • Engaging in-office events that promote company culture.
Full Job Description
Data Engineer

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: $90,000 - $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

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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