Dahl ConsultingRemote
Senior Cloud Data Engineer / GCP Data Operations Engineer (Remote)
United States of America
Contract
2 hours ago
$67 USD
H1B Sponsor Likely
Key skills
Google Cloud PlatformGCP project setupIAMService accountsPermissions managementAPIsBigQuerySQLCloud StorageData onboardingData schedulingmonitoringData pipeline troubleshootingCloud IAMLeast-privilege accessPermission troubleshootingData engineeringCloud data operationsSecurity governancePythonData EngineeringAnalyticsAirflowGCPGoogle CloudTerraformCloud RunCloud FunctionsPub/SubGrafanaSplunkcomposer
About this role
Dahl Consulting is supporting a large U.S.-based enterprise operating within the retail and technology sector. They are seeking a Senior Cloud Data Engineer / GCP Data Operations Engineer to help configure, operate, and maintain Google Cloud data infrastructure for secure data ingestion, storage, and analysis.
Responsibilities:
- Configure and support Google Cloud projects, APIs, service accounts, IAM roles, permissions, Cloud Storage, and BigQuery resources
- Partner with cloud engineering, security, infrastructure, and platform teams to request, validate, and maintain access and connectivity
- Support secure onboarding of sensitive data into Cloud Storage and BigQuery
- Build and maintain BigQuery datasets, tables, views, scheduled queries, and recurring summary tables
- Configure, monitor, and troubleshoot scheduled data transfers, query jobs, and analytics workflows
- Resolve job failures, permission issues, schema changes, data availability problems, and API access challenges
- Define and validate least-privilege access patterns and service account usage
- Ensure enterprise environments can securely access and query cloud-hosted analytics data
- Create and maintain documentation including architecture diagrams, access models, job schedules, runbooks, and support procedures
- Ensure all data and workflows comply with security, privacy, and governance standards
Requirements:
- 3–5 years of experience in cloud engineering, data engineering, analytics engineering, or data platform operations
- Hands-on experience with Google Cloud Platform
- Strong experience with GCP project setup, IAM, service accounts, permissions, and APIs
- Advanced BigQuery experience, including SQL, datasets, tables, views, scheduled queries, and aggregated summary tables
- Experience onboarding and managing data in Cloud Storage and BigQuery
- Experience scheduling, monitoring, and troubleshooting recurring data jobs or pipelines
- Strong SQL skills for validation, transformation, aggregation, and analytics
- Solid understanding of cloud IAM, least-privilege access, and permission troubleshooting
- Experience working with centralized cloud, security, infrastructure, or platform teams
- Demonstrated ability to work with sensitive or restricted data under strict governance controls
- Experience supporting security analytics, insider risk, fraud detection, cybersecurity, or similar use cases
- Experience with GCP services such as Data Transfer Service, Cloud Composer (Airflow), Dataflow, Pub/Sub, Cloud Functions, or Cloud Run
- Experience with infrastructure-as-code tools such as Terraform
- Familiarity with Cloud Logging, Cloud Monitoring, Splunk, Grafana, or similar observability tools
- Experience building dashboards for data freshness, job status, or pipeline health
- Python experience for automation, validation, or operational tooling
- Experience working in large enterprise cloud environments
- Familiarity with identity, endpoint, access logs, or security event data