Data Engineer - SailPoint IAM

First American is a company that prioritizes its people and has been recognized for its inclusive culture. They are looking for a SailPoint IAM Data Engineer to design, build, and maintain identity data integrations and pipelines to enhance enterprise access governance and compliance.

Responsibilities:

• Design, develop, and maintain SailPoint integrations with enterprise systems including HR platforms, Active Directory/LDAP, cloud applications, databases, and ERPs
• Build and optimize identity data pipelines to support accurate aggregation, correlation, normalization, and reconciliation of identity and access data
• Develop and maintain SailPoint rules, transforms, and aggregation logic to support identity lifecycle events, access certifications, and role-based access models
• Partner with IAM engineers, security teams, HR, and application owners to onboard systems and define integration requirements
• Troubleshoot and resolve data ingestion and correlation issues to ensure reliable and auditable SailPoint operations
• Support audit and compliance efforts by ensuring data accuracy, traceability, and documentation
• Contribute to improvements in data performance, scalability, and IAM integration patterns

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• 3+ years of experience in data engineering, identity and access management, or enterprise system integrations
• Hands-on experience with SailPoint IdentityIQ and/or SailPoint IdentityNow in a production enterprise environment
• Strong understanding of identity and access management concepts including accounts, entitlements, roles, access certifications, and lifecycle events
• Experience working with SQL and relational databases to query, transform, and validate identity data
• Proficiency in Java, BeanShell, or Groovy, particularly for developing SailPoint rules and custom logic
• Experience integrating systems using REST and SOAP APIs and working with CSV, XML, and JSON data formats
• Knowledge of Active Directory, LDAP, and cloud-based identity sources
• Familiarity with ETL processes, data transformation techniques, and data quality best practices
• Strong verbal and written communication skills with the ability to collaborate effectively across technical and non-technical teams
• Additional IAM platforms or technologies such as Okta, CyberArk, Azure Active Directory, or Workday
• Access governance concepts, SOX controls, or other regulatory and compliance frameworks
• Supporting large-scale, enterprise IAM environments with complex identity data integrations
• Scripting or automation experience to support data processing, monitoring, or operational tasks
• Working within highly regulated industries such as Financial Services, Insurance, or Healthcare