Business Intelligence Engineer

Sammons Warehouse Solutions•Dallas, TX

9d•Hybrid

About The Position

The Business Intelligence Engineer strengthens the data foundation used to support decisions across Sammons Industrial’s businesses. Working primarily in Microsoft Fabric, this hands-on role owns and improves data pipelines, transformations, and structures that turn raw information into reliable, actionable insights. The engineer works independently while partnering with IT, Reporting & Analytics, and business teams to support analytics and AI capabilities and prepare the data environment for future needs. The position is based at the company’s Dallas, Texas corporate office and follows a hybrid schedule each week. The role may require responding to early-morning alerts to keep critical data moving. The company states that it cannot provide immigration support for this role.

Requirements

3–5 years of experience in data engineering, BI engineering, or a related field.
Hands-on ability to independently build, troubleshoot, and manage production data solutions.
Practical experience with Microsoft Fabric pipelines, notebooks, Lakehouse, Warehouse, OneLake, and medallion architecture, including independent ownership of Bronze and Silver layers.
Advanced SQL skills.
Working proficiency in Python.
Experience with data transformations, dimensional modeling, and Power BI.
Experience with Git-based source control or DevOps practices.
Ownership, attention to detail, clear communication, and a collaborative mindset; ability to work independently while staying connected with stakeholders.

Nice To Haves

Experience with Spark/PySpark.
Experience with CI/CD.
Experience with AI-enabled data solutions.

Responsibilities

Design, build, and maintain Microsoft Fabric pipelines, notebooks, Lakehouse and Warehouse solutions, and Bronze and Silver data layers using medallion architecture.
Maintain accurate, efficient, and reliable data flows.
Use SQL, Python, and dimensional modeling to transform data and improve performance.
Partner with Reporting & Analytics to support Power BI semantic models and Gold-layer data products.
Monitor data processes, investigate issues, resolve root causes, and maintain dependable solutions through testing, documentation, source control, and DevOps practices.
Respond to early-morning alerts when needed to keep critical data moving.
Partner with IT, Reporting & Analytics, and business teams to improve data quality and strengthen engineering practices.
Prepare trusted data for advanced analytics, automation, and AI.