Cloud engineer • irvine ca
The Cloud Data Engineer is responsible for designing, implementing, maintaining, and securing Azure-based data platforms.This role builds and manages data pipelines, data storage solutions, data pr... Show more
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Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience).Azure platform engineering expertise.Proven experience delivering enterprise Azure Landin... Show more
The average salary range is between $ 124,411 and $ 175,475 year , with the average salary hovering around $ 137,500 year .
The average salary range is between $ 110,421 and $ 167,056 year , with the average salary hovering around $ 131,648 year .
Job Description
The Cloud Data Engineer is responsible for designing, implementing, maintaining, and securing Azure-based data platforms. This role builds and manages data pipelines, data storage solutions, data processing frameworks, and cloud infrastructure to support enterprise reporting, analytics, and business intelligence initiatives.
The engineer will work closely with business analysts, Power BI developers, DBAs, and infrastructure teams to ensure reliable, scalable, and secure data solutions.
Data Pipeline Development
· Design, develop, and maintain ETL/ELT pipelines.
· Build automated batch and near real-time data integration processes.
· Integrate data from on-premises and cloud systems.
· Troubleshoot and optimize data workflows.
Data Storage & Modeling
· Design and maintain data warehouse and data lake architectures.
· Develop logical and physical data models.
· Optimize database schemas, indexes, and partitioning strategies.
· Support historical data retention and archival requirements.
Azure Platform Administration
· Manage and support:
· Configure networking, security groups, and access controls.
Database Administration
· Database installation and configuration.
· Performance tuning and query optimization.
· Monitoring and maintenance.
· Backup and recovery management.
· High Availability (HA) and disaster recovery planning.
· Replication and failover configuration.
Infrastructure & Automation
· Develop scripts and automation for operational tasks.
· Support CI/CD deployment processes.
· Automate monitoring, alerting, and maintenance activities.
Monitoring & Support
· Monitor platform availability and performance.
· Resolve production incidents and root causes.
· Maintain SLA and operational standards.
· Provide technical support to business and development teams.
· Complete tasks assigned by management.
Qualifications
Azure Services
Data Technologies
Scripting & Programming
Preferred Qualifications
· Bachelor's degree in Computer Science, Information Systems, or related field.
· 5+ years of Data Engineering experience.
· 3+ years of Azure Cloud experience.
· Experience with Power BI environments.
· Experience migrating on-premises systems to Azure.
Additional Information
All your information will be kept confidential according to EEO guidelines.
