Title: Data Engineer – Data Pipeline Position Type: Contract 2 Month Location: 100% REMOTE Role Must be able to work EST hours. Responsibilities: Data Engineer to design and implement a cloud-native data processing and API integration system. The solution will ingest identity data from upstream sources, detect record-level changes, and synchronize user metadata to a downstream system via API. This is a hands-on role focused on scalable data handling, automation, and fault-tolerant service deployment within GCP. Qualifications: • Experience integrating with IAM or identity systems (e.g., LDAP, Okta, custom directories) • Background working in regulated or high-security environments • Experience handling large-scale user datasets (millions of records) • Familiarity with hybrid data processing (batch + streaming) • GCP Certifications • Bachelor’s or master’s degree in computer science, Data Engineering, or equivalent work experience. • Backend development or data engineering roles focused on identity, security, or metadata systems. • Strong Python engineering for data processing and backend development • Advanced experience with GCP services: BigQuery, Cloud Run, Cloud Functions, Cloud Composer, Pub/Sub, Cloud Storage, Secret Manager, Cloud Scheduler • Interacting with REST APIs, including OAuth2 or token-based authentication • Terraform for cloud infrastructure automation • Proficiency with SQL for data transformation and validation • Strong understanding of CI/CD, containers (Docker), Git workflows • Comfortable working with structured metadata, user roles, and directory-style data • Able to work independently and meet delivery milestones • Strong documentation and debugging skills • Must adhere to enterprise security and change control practices