Data Engineer — Azure SQL, ETL Pipelines, Onsite

Fire Rover, LLC; Farmington Hills (MI); On-site; USD 75,000 - 100,000; Full time

Benefits offered by this job

401(k)

Health insurance

Paid time off

Professional development assistance

Job summary

Fire Rover, LLC is seeking a Data Engineer in Farmington Hills, MI to design, optimize, and maintain data pipelines and relational databases for reporting, analytics, and AI/ML projects.

You will collaborate with the Data Architect and cross-functional teams to build reliable, well-structured datasets that power analytics and product initiatives. The role emphasizes SQL development, data modeling, and data quality.

Qualifications

• 2+ years in data engineering or a closely related role.
• Strong SQL skills with optimization and schema design.
• Experience designing and maintaining relational databases.
• Experience building ETL/ELT data pipelines.
• Familiarity with Azure data services (Azure SQL, Data Factory).
• Solid data modeling and data quality practices.
• Ability to collaborate across multiple teams.

Responsibilities

• Design, write, and optimize SQL queries, procedures, and views.
• Build and maintain data pipelines for diverse sources.
• Model and maintain relational database schemas for performance.
• Collaborate with Data Architect to enhance data architecture.
• Provide clean, reliable datasets for analytics, AI/ML, and products.
• Contribute to reporting and data governance best practices.
• Monitor and troubleshoot database performance and data quality.

Skills

2+ years data engineering

Strong SQL skills

Relational database design

ETL/ELT pipelines

Azure data ecosystem

Tools

Azure SQL

Azure Data Factory

Power BI

Python

SQL Server

Job description

Fire Rover, LLC is seeking a Data Engineer in Farmington Hills, MI to design, optimize, and maintain data pipelines and relational databases for reporting, analytics, and AI/ML projects.

You will collaborate with the Data Architect and cross-functional teams to build reliable, well-structured datasets that power analytics and product initiatives. The role emphasizes SQL development, data modeling, and data quality.