Fabric and Data Engineer
Analytics
Application Security
Automation
Automation Developer
Azure
Azure Data Engineer
Azure Data Factory
Azure Data Platform
Azure Platform
Big Data
Bigdata
Business Analytics
Business Intelligence
Business Intelligence Tools
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Infrastructure
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Governance
Data Integration
Data Integration Tools
Data Lakehouse
Data Lineage
Data Management
Data Pipeline
Data Platform
Data Processing
Data Security
Data Visualization
Data Warehouse
Database
Databases
Databricks Lakehouse
Design
DevOps
DevSecOps
ETL
Facilities Management
Hr Technology
Informatica
Information Technology (IT)
Infrastructure As Code
Lakehouses
Microsoft
Microsoft Azure
Microsoft Fabric
Microsoft Office
Microsoft Power Platform
Power BI
Power Platform
Product Management
Pyspark
Reporting and Analytics
Security Automation
Security Devops
Software Development
Software Security
Spark
SQL
Visual Design
Job Description
The role focuses on designing, implementing, and supporting enterprise-grade data solutions using Microsoft Fabric and Azure. The position emphasizes secure, scalable, automated, and highly reliable data platforms that support analytics, reporting, and AI initiatives.
Responsibilities
- Design, deploy, and support Microsoft Fabric environments, including workspaces and solutions.
- Build and maintain Lakehouses, Warehouses, data pipelines, notebooks, and data transformation processes.
- Develop scalable ETL/ELT solutions using SQL, Python, PySpark, and Spark.
- Integrate Fabric with Azure services, databases, APIs, SaaS applications, and on-premises data sources.
- Implement security, RBAC, data governance, lineage, and compliance controls.
- Set up Git, CI/CD, and automated deployment practices across development, test, and production environments.
- Monitor platform health, capacity, performance, pipelines, and production workloads.
- Troubleshoot incidents, perform root-cause analysis, and optimize performance.
- Create technical standards, documentation, operational procedures, and runbooks.
- Coordinate with Cloud, Infrastructure, Security, Data, Application Development, and business stakeholders.
Requirements
- 5+ years of experience in data, cloud, platform, or database engineering.
- Hands-on experience with Microsoft Fabric and Azure data services.
- Strong SQL skills and experience with Python and/or PySpark.
- Experience building ETL/ELT pipelines, data lakes, warehouses, and Lakehouse architectures.
- Experience with Git, CI/CD, automation, and production support practices.
- Working understanding of cloud security, identity and RBAC, data governance, and monitoring.
- Strong troubleshooting, documentation, and communication skills.
- Legal authorization to work in the United States. No visa sponsorship is offered.
Technologies
- Microsoft Fabric, Azure
- SQL, Python, PySpark, Spark
- Lakehouses, Warehouses, notebooks
- ETL/ELT, Git, CI/CD
- RBAC, data governance, lineage
- Azure Data Factory, OneLake
- Fabric Lakehouse, Fabric Warehouse
- Power BI, Delta Lake, Terraform
Preferred
- Microsoft Fabric production experience and related Microsoft certifications (DP-600, DP-700).
- Experience with OneLake, Fabric Lakehouse and Fabric Warehouse, Data Factory, Spark, Power BI, and Delta Lake.
- Experience using Infrastructure-as-Code tools such as Terraform.
- Experience supporting data platforms in financial services or another highly regulated environment.
Compensation
The base pay range for this position is USD $30.00/Hr. - USD $34.00/Hr.
Location
Pasadena, CA (onsite)
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