BI Engineer: Data Pipelines & AI-Ready Analytics (Hybrid)

Sammons Industrial, Inc.; Dallas (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

ESOP retirement plan

Hybrid work model

Paid holidays and time off

Health and wellness benefits

Job summary

Sammons Industrial, Inc. is hiring a Business Intelligence Engineer in a hybrid Dallas, TX role. You will design and optimize data pipelines, build trusted data models, and enable analytics across business units.

You will work with SQL, Python, Power BI, and Fabric to deliver robust data products, improve data quality, and support AI-enabled analytics. Collaboration with IT and analytics teams is essential for success.

Qualifications

• 3–5 years in data engineering, BI engineering, or related field.
• Experience with Fabric pipelines, Lakehouse, Bronze/Silver layers, and OneLake.

Responsibilities

• Own and strengthen our data foundation.
• Design, build, and maintain Microsoft Fabric pipelines, notebooks, Lakehouse and Warehouse solutions, and Bronze and Silver data layers using medallion architecture.
• Turn complex data into trusted insights using SQL, Python, and dimensional modeling to support Power BI semantic models.
• Proactively monitor data processes, investigate issues, and maintain dependable solutions through testing, documentation, source control, and DevOps practices.
• Partner with IT, Reporting & Analytics, and business teams to improve data quality and prepare trusted data for advanced analytics, automation, and AI.

Skills

SQL

Python

Power BI

Git

Spark/PySpark

CI/CD

Dimensional modelling

AI-enabled data solutions

Tools

Microsoft Fabric

Job description

Sammons Industrial, Inc. is hiring a Business Intelligence Engineer in a hybrid Dallas, TX role. You will design and optimize data pipelines, build trusted data models, and enable analytics across business units.

You will work with SQL, Python, Power BI, and Fabric to deliver robust data products, improve data quality, and support AI-enabled analytics. Collaboration with IT and analytics teams is essential for success.