Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Irvine, CA, United States
Likely evergreen, first seen by us 12 days agoCompany Description Salary : $105,000~$135,000/y, DOE Work Location: Irvine, CARead the full posting
Work setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
SQL, Data Modeling, ETL / ELT, Data Warehousing
Python, PowerShell, SQL T-SQL / PostgreSQL
Preferred Qualifications · Bachelor's degree in Computer Science, Information Systems, or related field. · 5+ years of Data Engineering experience.
Likely evergreenReposted 3 times since Sep 16, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 12
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Scripting & Programming - Python, PowerShell, SQL T-SQL / PostgreSQL Preferred Qualifications
- Azure Data Lake Storage (ADLS) - Azure SQL Database / Azure PostgreSQL - Azure ExpressRoute
- Azure Data Lake Storage Gen2 - Azure SQL Database - Azure Database for PostgreSQL
Data Technologies - SQL, Data Modeling, ETL / ELT, Data Warehousing - Star Schema / Dimensional Modeling
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.
· Support historical data retention and archival requirements. Azure Platform Administration · Manage and support:
· Manage and support: - Azure Data Factory (ADF) - Azure Data Lake Storage (ADLS)
- Azure Data Factory (ADF) - Azure Data Lake Storage (ADLS) - Azure SQL Database / Azure PostgreSQL
- Azure SQL Database / Azure PostgreSQL - Azure ExpressRoute - Gateway Servers
Qualifications Azure Services - Azure Data Factory (ADF)
Azure Services - Azure Data Factory (ADF) - Azure Data Lake Storage Gen2
- Azure Data Factory (ADF) - Azure Data Lake Storage Gen2 - Azure SQL Database
- Azure SQL Database - Azure Database for PostgreSQL - Azure ExpressRoute
- Azure Database for PostgreSQL - Azure ExpressRoute - Azure Virtual Networks
- Azure ExpressRoute - Azure Virtual Networks Data Technologies
· 5+ years of Data Engineering experience. · 3+ years of Azure Cloud experience. · Experience with Power BI environments.
· Experience with Power BI environments. · Experience migrating on-premises systems to Azure. Additional Information
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
· 3+ years of Azure Cloud experience. · Experience with Power BI environments. · Experience migrating on-premises systems to Azure.
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Azure Cloud Data Engineer(Korean Bilingual) jobs there since September 2026. 2 came down, usually after about 13 days.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
All your information will be kept confidential according to EEO guidelines.
Salary : $105,000~$135,000/y, DOE
Work Location: Irvine, CA
**Korean Bilingual Required**
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Company Description Salary : $105,000~$135,000/y, DOE Work Location: Irvine, CA
Irvine, CA, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.