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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Cure Auto Insurance - **Location:** Princeton, NJ, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), BigQuery, Code Review, Continuous Integration, Information Engineering, Data Security, Data Warehousing, Database Queries, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Performance Tuning, Role-Based Access Control, Data Streaming, Snowflake, Apache Spark, Data Lakes, Debezium, Information Technology, Apache Kafka, Machine Learning Operations, Stream Processing, Data Pipelines, Amazon Redshift, Databricks - **Published:** September 22, 2026 - **Apply:** https://www.juju.com/job/16_aa820e21 ## About the Role * 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., 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. ## Description 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., * 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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