Senior Data Engineer

Senior Data Engineer

Job Family: Data & Analytics

Location: Corona, CA, 100% REMOTE

Experience Level: Senior (7+ Years)



Position Summary
We are seeking an experienced Senior Data Engineer to design, build, optimize, and support enterprise-scale data platforms and analytics solutions. The successful candidate will be responsible for developing reliable, scalable, and secure data pipelines, data products, and cloud-based analytics solutions leveraging Microsoft Fabric, OneLake, Azure, and related technologies. This role partners closely with architects, analysts, business stakeholders, and engineering teams to deliver high-quality data solutions that enable enterprise decision-making and innovation.

Key Responsibilities

• Design, develop, and maintain enterprise-grade data pipelines and data products.
• Build scalable ingestion, transformation, and integration solutions for structured and unstructured data.
• Develop and optimize data models, lakehouses, warehouses, and analytics datasets.
• Ensure high availability, performance, and reliability of enterprise data platforms.
• Support and administer Microsoft Fabric, OneLake, Azure Data Services, and Power BI environments.
• Implement best practices for data governance, data quality, security, and platform scalability.
• Monitor and improve platform performance, utilization, and operational efficiency.
• Build CI/CD pipelines and automated deployment frameworks using GitHub Enterprise and GitHub Actions.
• Leverage Infrastructure-as-Code and automation tools to streamline data platform operations.
• Promote DataOps and engineering best practices across teams.
• Implement monitoring, logging, alerting, and observability solutions.
• Perform root cause analysis and drive resolution of data and platform issues.
• Maintain operational standards for reliability, security, and compliance.
• Partner with Data Architects, Analytics teams, Security, Infrastructure, and business stakeholders.
• Mentor junior engineers and contribute to technical standards and engineering excellence.
• Drive continuous improvement through innovation, automation, and process optimization.

Experience

• 7+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related fields.
• 3-5+ years of experience working with Microsoft Fabric, OneLake, Azure, CI/CD, and enterprise data platforms.
• Proven experience developing enterprise-scale analytics and data solutions.

Technical Skills
Required experience with:

• Microsoft Fabric
• OneLake
• Azure Data Services
• Power BI
• GitHub Enterprise
• GitHub Actions
• CI/CD Pipelines
• Python
• PowerShell
• REST APIs
• Microsoft Purview
• Data Warehousing
• Data Integration
• Monitoring and Observability Platforms
• Real-Time Analytics technologies including Eventstreams and KQL.

Preferred Certifications

• Microsoft Certified: Azure DevOps Engineer Expert
• Microsoft Fabric Certification
• Azure Data Engineering Certifications preferred.