Senior Data Engineer - AI Data Platform

La Mesa Rv; Phoenix (AZ); On-site; USD 120,000 - 160,000; Full time

Job summary

La Mesa RV seeks a Senior Data Engineer to design, build, and optimize enterprise data platforms enabling analytics and AI. This hands-on role focuses on scalable, secure data solutions using data lakes, lakehouses, and warehouses with Microsoft Fabric and Azure services.

You will collaborate with data scientists and analysts to deliver high-quality datasets, govern data quality, and integrate with Power BI for insights. Prioritize data security and compliant archiving in an Agile environment.

Qualifications

• Requires 5+ years in data engineering with hands-on data modeling and pipeline development.
• Experience designing data lakes, lakehouses, and warehouses using modern architectures.
• Familiarity with Microsoft Fabric, Azure data services, and governance practices.

Responsibilities

• Design and implement robust data models (conceptual/logical/physical) for analytics and AI workloads.
• Architect and maintain data pipelines for structured and unstructured data.
• Establish data governance, quality, lineage, and metadata management.
• Build data lakes/lakehouses/warehouses using Microsoft Fabric and Azure services.
• Develop ETL/ELT processes for batch and real-time ingestion.
• Migrate data from SQL Server to Microsoft Fabric with minimal disruption.
• Collaborate with data scientists and stakeholders to deliver high-quality datasets.
• Integrate data solutions with Power BI for reporting and visualization.
• Enforce data security, privacy, and regulatory compliance.
• Implement CI/CD and automated testing for data workflows.

Skills

Data modeling

Pipelines development

Python

SQL

Java

CI/CD

Data governance

Power BI

Microsoft Fabric

Azure Data Services

Agile

AI/ML data pipelines

Education

Bachelor’s or Master’s degree

Tools

Microsoft Fabric

Azure Data Services

SSIS

SSRS

Kafka

Kinesis

SQL Server

Job description

La Mesa RV seeks a Senior Data Engineer to design, build, and optimize enterprise data platforms enabling analytics and AI. This hands-on role focuses on scalable, secure data solutions using data lakes, lakehouses, and warehouses with Microsoft Fabric and Azure services.

You will collaborate with data scientists and analysts to deliver high-quality datasets, govern data quality, and integrate with Power BI for insights. Prioritize data security and compliant archiving in an Agile environment.