{"schemaVersion":"jobsearcher.job.v1","id":"f4e32f72715f3c5a4c081444","url":"https://jobsearcher.com/jobs/f4e32f72715f3c5a4c081444","canonicalUrl":"https://jobsearcher.com/jobs/f4e32f72715f3c5a4c081444","title":"Data engineer","description":"Role: Data EngineerLocation: Princeton, NJWe 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 FunctionsBuild 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 metricsDevelop 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/QualificationsBachelor'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).PreferredExperience in insurance, financial services, or other regulated industriesKnowledge of P&C auto insurance concepts: underwriting, rating/pricing, claims lifecycle, reserves, exposure, reinsurance is a plusKnowledge 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.","company":"Infinity Tech Group","rawCompany":"infinity tech group","city":"Princeton","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-10-31T07:52:50.811Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"524298","title":"All Other Insurance Related Activities","slug":"all-other-insurance-related-activities"},{"code":"524126","title":"Direct Property and Casualty Insurance Carriers","slug":"direct-property-and-casualty-insurance-carriers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data engineer","description":"Role: Data EngineerLocation: Princeton, NJWe 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 FunctionsBuild 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 metricsDevelop 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/QualificationsBachelor'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).PreferredExperience in insurance, financial services, or other regulated industriesKnowledge of P&C auto insurance concepts: underwriting, rating/pricing, claims lifecycle, reserves, exposure, reinsurance is a plusKnowledge 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.","datePosted":"2026-10-31T07:52:50.811Z","dateModified":"2026-10-31T07:52:50.811Z","hiringOrganization":{"@type":"Organization","name":"Infinity Tech Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Princeton","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f4e32f72715f3c5a4c081444"},"url":"https://jobsearcher.com/jobs/f4e32f72715f3c5a4c081444"}}