Senior Data Engineer — Data Platform & AI (Fabric)

La Mesa; Phoenix (AZ); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Healthcare coverage

401K

Job summary

La Mesa RV is seeking a Senior Data Engineer to design, build, and optimize enterprise data platforms enabling advanced analytics and AI initiatives. This role is hands-on, focusing on scalable, secure data solutions with data governance and modern architectures.

The ideal candidate will have deep expertise in data modeling, lakehouse concepts, and experience deploying data lakes and warehouses using Microsoft Fabric and Azure services, plus Power BI integration for reporting.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field or relevant professional experience.
• 5+ years of experience in data engineering roles.
• Hands-on data modeling, pipeline development, and governance experience.
• Proficiency with Microsoft Fabric and Azure Data Services.

Responsibilities

• Design and implement robust data models to support analytics and AI workloads.
• Architect and maintain data pipelines for structured and unstructured data.
• Establish and enforce data governance, quality, lineage, and metadata management.
• Build and manage data lakes, lakehouses, and warehouses using Microsoft Fabric and Azure services.
• Develop and optimize ETL/ELT processes for batch and real-time data ingestion.

Skills

Data modeling

ETL/ELT pipelines

Microsoft Fabric

Azure Data Services

Data migration

Data governance

AI/ML data pipelines

Python

SQL

Java

API development

CI/CD for data pipelines

Streaming architectures

Power BI integration

Agile (Scrum/Kanban)

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field or relevant professional experience

Tools

Power BI

SSRS

SSIS

Kafka

Kinesis

Microsoft Fabric

Azure Data Factory

Job description

La Mesa RV is seeking a Senior Data Engineer to design, build, and optimize enterprise data platforms enabling advanced analytics and AI initiatives. This role is hands-on, focusing on scalable, secure data solutions with data governance and modern architectures.

The ideal candidate will have deep expertise in data modeling, lakehouse concepts, and experience deploying data lakes and warehouses using Microsoft Fabric and Azure services, plus Power BI integration for reporting.