Data Engineer III, Cloud
Analytics
Azure
Azure Data Factory
Azure Data Lake
Azure Data Lake Storage
Azure Data Platform
Azure Postgresql
Azure Sql
Business Analytics
Business Intelligence
Cloud
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Factory Azure
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Design
Digital Marketing
Engineer
ETL
Informatica
Information Technology (IT)
Microsoft
Microsoft Azure
Power BI
Power Platform
Programming
Programming Language
Programming Languages
Reporting and Analytics
SQL
Visual Design
Job Description
Mobis Parts America, LLC. is hiring a Cloud Data Engineer III (onsite in Fountain Valley, CA) to design, implement, and secure Azure-based data platforms that support enterprise reporting, analytics, and business intelligence. This role focuses on building reliable, scalable data pipelines, storage, and processing frameworks, with close collaboration across business analysts, Power BI developers, DBAs, and infrastructure teams.
Why this role
- Compensation: $90,466.10 - $134,342.16 annual salary range, based on experience and qualifications
- Benefits: Medical, Dental, and Vision; 401K with employer matching; Tuition Reimbursement
- Time off: Paid Vacation, Paid Sick Days, and Paid Holidays
- Growth support: Mapped career plans
- Flexibility: Monday to Friday 8:00 AM - 5:00 PM with possible flexible scheduling at the manager’s discretion and approval
- Onsite, no travel: No travel required
What you’ll do
- 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 for performance and reliability
- 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
- Manage and support Azure platform components including:
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS), including ADLS Gen2
- Azure SQL Database and Azure PostgreSQL
- Azure ExpressRoute
- Gateway Servers
- Azure Virtual Networks
- Configure networking, security groups, and access controls
- Handle monitoring, maintenance, backup and recovery, and operational support
- Support High Availability (HA) and disaster recovery, including replication and failover configuration
- Develop scripts and automation for operational tasks and assist with CI/CD deployment processes
- Automate monitoring, alerting, and maintenance activities; monitor platform availability and performance
- Resolve production incidents, identify root causes, and maintain SLA and operational standards
- Provide technical support to business and development teams
What you bring
- 4 to 7 years of data engineering experience (Required)
- 3 to 5 years of Azure cloud experience (Preferred)
- Experience with Power BI environments
- Experience migrating on-premises systems to Azure
- Bachelor’s Degree in Computer Science, Information Systems, or a related field (Required)
- Experience with: Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure SQL Database, Azure Database for PostgreSQL, Azure ExpressRoute, Azure Virtual Networks
- Core skills: SQL, data modeling, ETL/ELT, data warehousing, Star Schema and dimensional modeling
- Scripting and query languages: Python, PowerShell, SQL T-SQL, PostgreSQL
Schedule, employment type, and demands
- Employment type: Exempt, annual salary
- Schedule: Monday - Friday, 8:00 AM - 5:00 PM; flexible schedule at manager discretion/approval
- Travel: No travel required
- Physical demands: Rarely, Occasionally, Frequently, and Constantly listed (with X marked for standing, walking, sitting, and various movements)
Core competencies
- Analytical Thinking
- Communication Skills
- Functional Knowledge
- Problem Solving
- Job Impact