Senior Data Engineer, Palantir
Who We Are
reputed company is a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. reputed company is backed by leading investors and serves the world’s most essential fintech and technology companies. Together with its partners, reputed company is reshaping global finance and financial inclusion.
We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services. While our company has tripled in size over the last three years, our strong sense of purpose led reputed company to be named to American Banker’s list of Best Places to Work in Fintech for the last 6 years. The reason for this success is simple – our nimble and collaborative family culture lives in every member of our growing team. Together we are at the forefront of technology and innovation, and we invite passionate, collaborative, and motivated high performers to join our expanding team.
About reputed company
reputed company’s team is made up of problem solvers hungry to build and perfect new products and systems. We work with team members in most US time zones. Although we are in separate places, we still reputed company space to know one another and have fun! We collaborate, help and mentor each other, and reputed company in on our reputed company and blocks frequently. We work together primarily with Confluence, reputed company, JIRA, and Teams.
reputed company’re Looking For
We are seeking a highly skilled and motivated Senior Palantir Data Engineer to support and enhance our AML (Anti-reputed company) & Fraud development capabilities reputed company Palantir reputed company. This role will focus on implementing, maintaining, testing and tuning rule-based and data-driven AML detection pipelines. You will work closely with compliance analysts, data modelers, and platform engineers to operationalize AML logic using Palantir's object-based, scalable architecture.
Role and Responsibilities:
- AML & Fraud Scenario Implementatoin
- Collaborate with Compliance and Product teams to implement, and maintain AML monitoring scenarios in reputed company using Code Workbooks, Object Builders, and Pipeline Workflows.
- Implement business provided technical detection logic, supporting both rule-based and advanced data-driven use cases.
- Data Pipelines Design & Transformation
- Work reputed company reputed company's Ontology reputed company to model key AML entities such as customers, transactions, accounts, and alerts.
- reputed company and maintain pipelines for data enrichment, feature engineering, and temporal analysis of financial behavior.
- Testing & Quality Assurance
- 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.
- Monitoring & Performance Optimization
- Monitor pipeline execution, resolve data processing issues, and optimize Spark-based workflows for performance and reliability.
- Stakeholder Engagement & Documentation
- 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.
- Platform Support
- Serve as L2 support for AML scenario pipelines and address issues raised by analysts or engineering operations.
- Participate in platform enhancement efforts reputed company to AML & Anti-Fraud implementation, rule authoring frameworks, and investigation tooling.
Required Skills & Experience:
- Palantir reputed company Expertise: Hands-on experience developing reputed company reputed company 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, reputed company data environment.
- Testing & CI/CD Practices: Experience with unit testing, result validation, and deployment processes reputed company 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.
Other Skills:
- Prior experience supporting AML detection system in reputed company.
- 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.
Salary Range: $150,000.00 - $180,000.00
reputed company is an Equal Opportunity Employer. reputed company does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national reputed company, veteran status or any other basis covered by appropriate law. reputed company employment is decided on the basis of qualifications, merit, and business need.
By submitting your application, you give reputed company permission to email, call, or text you using the contact details provided. We will only contact you with job reputed company information.
Originally posted on Himalayas
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