Cloud Data Operations Engineer-GCP

Cloud Data Operations Engineer-GCP Fustis LLC Minneapolis, MN Job Details $75

• $80 a year 2 hours ago Qualifications Cloud identity and access management (IAM) Data storage SQL databases Cloud data warehouses IT system monitoring Mid-level 3 years SQL Information security compliance Access control implementation Terraform Splunk APIs Grafana Data validation Data transformation Cross-functional collaboration Cloud monitoring BigQuery Python Identity & access management Full Job Description Cloud Data Operations Engineer-GCP Brooklyn Park•MN•Hybrid (2 days) 12+

Months USC and GC Only Pay Rate:

$75-80/hr. on W2 can be remote but for very strong profile. Local preferred. Role Overview Target is seeking a Senior Cloud Data Engineer / GCP Data Operations Engineer to support a sensitive data analytics initiative focused on insider threat detection. This role is responsible for configuring, operating, and monitoring Google Cloud Platform (GCP) environments to ensure secure, reliable data onboarding and analytics operations. The ideal candidate has strong hands-on experience with Google Cloud , particularly in project setup, IAM, service accounts, APIs, Cloud Storage, and BigQuery. You will work independently while partnering with cloud engineering, security, analytics, and platform teams to maintain day‐to‐day operational reliability. Key Responsibilities Set up and support GCP projects, APIs, service accounts, IAM roles, permissions, Cloud Storage, and BigQuery resources Partner with cloud engineering, compute, security, and platform teams to validate access, privileges, and connectivity Support secure onboarding of sensitive data into Cloud Storage and BigQuery Build and maintain BigQuery datasets, tables, views, scheduled queries, and summary tables Configure, monitor, and troubleshoot scheduled data transfers and analytics workflows Resolve job failures, permission issues, schema changes, and data availability problems Define and implement least‐privilege access patterns for GCP resources Validate secure access to cloud‐hosted data from internal analytics environments Document cloud resources, job schedules, dependencies, runbooks, and support procedures Ensure compliance with security, privacy, and governance requirements Required Qualifications 3-5 years of experience in cloud engineering, data engineering, analytics engineering, or data platform operations Strong hands‐on experience with Google Cloud Platform Experience with GCP project setup, IAM, service accounts, permissions, and APIs Strong BigQuery expertise (datasets, tables, views, SQL, scheduled queries) Experience onboarding data into Cloud Storage and BigQuery Experience scheduling, monitoring, and troubleshooting recurring data jobs Strong SQL skills for data validation, transformation, and aggregation Solid understanding of IAM, least‐privilege access, and permission troubleshooting Experience working with centralized cloud, security, or platform teams Comfortable working with sensitive data in regulated environments Nice to Have Experience with security analytics, insider threat detection, fraud, or cyber defense use cases Experience with GCP services such as Data Transfer Service, Cloud Composer/Airflow, Dataflow, Pub/Sub, Cloud Functions, or Cloud Run Infrastructure‐as‐Code experience (Terraform) Monitoring and logging tools experience (Cloud Logging, Cloud Monitoring, Splunk, Grafana) Python experience for automation, validation, or API interactions Experience in large enterprise cloud environments Familiarity with identity, endpoint, access logs, or security event data Ideal Candidate Profile Strong cloud data operations engineer who can quickly stabilize and scale secure GCP analytics environments Able to translate ambiguous access and analytics requirements into clear technical execution Comfortable collaborating across analytics, cybersecurity, cloud engineering, and platform teams Ownership‐driven, detail‐oriented, and security‐minded Practical, execution‐focused, and able to operate independently