Senior Data Engineer

Summary

Join Cross River, a fast-growing financial technology company, as a Senior Palantir Data Engineer to support and enhance AML & Fraud development capabilities within Palantir Foundry. You will implement, maintain, test, and tune rule-based and data-driven AML detection pipelines. Collaborate with compliance analysts, data modelers, and platform engineers to operationalize AML logic using Palantir's architecture. This role requires expertise in Palantir Foundry, pipeline development, testing, big data processing, and excellent communication skills. You will work with various teams to ensure alignment with regulatory and operational standards. The position offers a competitive salary range of $150,000.00 - $180,000.00.

Requirements

• Palantir Foundry Expertise: Hands-on experience developing within Foundry using Pipelines, Code Workbooks (Python, PySpark, SQL), Object Builder, and Ontology
• Pipeline Development: Proven ability to build, maintain, and optimize data pipelines in a governed, modular data environment
• Testing & CI/CD Practices: Experience with unit testing, result validation, and deployment processes within enterprise data platforms
• Big Data Processing: Strong experience with Spark, PySpark, and SQL for large-scale data transformation and analysis
• Collaboration: Excellent communication skills and experience working with cross-functional teams including Compliance, Product, and Engineering

Responsibilities

• Collaborate with Compliance and Product teams to implement, and maintain AML monitoring scenarios in Foundry using Code Workbooks , Object Builders , and Pipeline Workflows
• Implement business provided technical detection logic, supporting both rule-based and advanced data-driven use cases
• Work within Foundry's Ontology framework to model key AML entities such as customers, transactions, accounts, and alerts
• Develop and maintain pipelines for data enrichment, feature engineering, and temporal analysis of financial behavior
• Create test cases to validate correct implementation of scenario logic, pipeline outputs, and transformations
• Work with QA and Compliance stakeholders on implementation quality testing including accuracy, edge cases, and scenario coverage
• Monitor pipeline execution, resolve data processing issues, and optimize Spark-based workflows for performance and reliability
• Maintain clear, version-controlled documentation as it relates to implementation of AML scenarios and associated data flows
• Work cross-functionally with Investigations, BSA/AML Compliance, and Data Governance teams to ensure alignment with regulatory and operational standards
• Serve as L2 support for AML scenario pipelines and address issues raised by analysts or engineering operations
• Participate in platform enhancement efforts related to AML & Anti-Fraud implementation, rule authoring frameworks, and investigation tooling

Preferred Qualifications

• Prior experience supporting AML detection system in Foundry
• AML Knowledge: Understanding of AML typologies (e.g., structuring, layering, smurfing) and experience operationalizing AML scenarios in a production system
• Experience integrating alert outputs with case management tools
• Exposure to anomaly detection and machine learning-based alerting techniques