Data Engineer

Description

We are looking for a Data Engineer to support a long-term contract assignment in Beverly Hills, California. This position focuses on preparing, validating, and organizing access-related data to help deliver reliable site deployments and ensure accurate user provisioning across connected systems. The role works closely with Facilities, Identity, Security, and vendor teams to improve data quality, support implementation activities, and maintain consistent rollout processes across locations.

Responsibilities:
Collaborate with Facilities and cross-functional partners to collect, cleanse, and verify access control information before deployment activities begin.
Reconcile user, badge, and permission records across legacy tools, Workday, Active Directory, and related platforms to maintain consistent data alignment.
Build and validate migration files, import templates, and assignment lists needed for loading records into Genea and associated systems.
Execute data upload activities with internal stakeholders and external vendors, then perform detailed checks to confirm completeness and accuracy.
Translate site and business access needs into structured mappings that connect users with the appropriate access groups and permissions.
Coordinate with Identity and Security teams to ensure access group design aligns with Active Directory, Okta, and established governance standards.
Support go-live and cutover efforts by preparing final data sets, applying last-minute updates, and assisting teams during rollout windows.
Maintain clear documentation for templates, mappings, validation steps, and repeatable processes while incorporating lessons learned for future deployments.
Provide post-launch support by troubleshooting data issues, correcting access assignments, and helping sites transition into steady-state operations.

Requirements

3+ years of experience in data engineering, data migration, system onboarding, or similar project-based data work.
Strong hands-on ability with structured data sets, spreadsheets, data templates, and ETL-oriented processes.
Proficiency with Python and experience working with technologies such as Apache Spark, Hadoop, and Kafka.
Understanding of identity and access management concepts, including users, groups, and directory-based administration in Active Directory.
Ability to investigate data discrepancies, resolve quality issues, and maintain high levels of accuracy across integrated systems.
Experience partnering with both technical and non-technical stakeholders, including operational teams such as Facilities.
Preferred background with access control or identity platforms such as Genea, Okta, CCure, or similar tools.
Genea expertise with substantial hands-on administrative experience is highly valued.

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