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Location
Remote (likely United States)

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Aug 19, 2026. aifire scores A on the Alion truth index.

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A Fire protection systems company, that provides fire life safety, fire prevention, and protection services. Visit AI Fire today!

NATURE OF POSITION:

 

AI Fire is seeking a skilled and driven Data Engineer to design, develop, and maintain scalable data warehouse solutions and migration of data from a variety of small business ERP platforms into our NetSuite ERP system. You’ll play a key role in enabling data-driven decision making by building reliable data pipelines, standardizing data from multiple systems, data management and optimizing cloud data infrastructure.

 

RESPONSIBILITIES:

Design and implement efficient data pipelines using Azure Fabric, Data Factory, Databricks, and Synapse Analytics

Develop ETL/ELT processes to ingest, transform, and load large volumes of data

Create and maintain data models, Lakehouse architecture, and data warehousing solutions

Collaborate with business analysts and business stakeholders to understand data requirements

Monitor and optimize data workflows for performance and cost

Ensure data quality, security, and compliance with governance standards

Automate data validation and testing procedures

Building dashboards as needed in PowerBi

Normalizing and cleaning data

REQUIREMENTS:

Strong proficiency in Azure data services: Fabric, Data Factory, Databricks, Synapse, Logic Apps, Azure SQL, etc.

Experience with Python, SQL, Spark, or Scala

Experience with Workflow Definition Language (WDL)

Experience with Celigo

Solid understanding of cloud architecture and data lake principles

Familiarity with CI/CD tools and DevOps practices in Azure

Working knowledge of data governance, privacy, and security practices

Certifications: Microsoft Certified Azure Data Engineer Associate

Understanding of general data in ERP systems

Experience with Power BI and Power Apps

Knowledge of machine learning workflows and integration

Analytical mindset and problem-solving attitude

Strong communication and teamwork abilities

Adaptability in a fast-paced, agile environment

Experience in other platforms such as AWS data fabric (Redshift, Glue, Athena) or Databricks will also be considered

Bachelor’s degree in Computer Science, Engineering, or related field

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