Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Business Intelligence Engineer
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain Microsoft Fabric pipelines, notebooks, Lakehouse and Warehouse solutions
Own Bronze and Silver data layers using medallion architecture
Use SQL, Python, and dimensional modeling to transform data and support Power BI models
Monitor data processes, resolve root causes, and respond to early-morning alerts
Partner with IT, Reporting & Analytics, and business teams on data quality and AI readiness
From the employer’s posting
Design, build, and maintain Microsoft Fabric pipelines, notebooks, Lakehouse and Warehouse solutions
Bronze and Silver data layers using medallion architecture
Use SQL, Python, and dimensional modeling to transform data, improve performance, and support Power BI semantic models
Proactively monitor data processes, investigate issues, resolve root causes
Partner with IT, Reporting & Analytics, and business teams to improve data quality
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 8
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 6
Similar jobs usually come down between day 6 and day 54.
From 11,033 similar postings that came down. Coming down is not always a hire.
Sammonsindustrial is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Power BI
- Spark
- PySpark
Where the posting names them
- 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. Keep data flowing accurately, efficiently, and reliably. - Turn complex data into trusted insights. Use SQL, Python, and dimensional modeling to transform data, improve performance, and support Power BI semantic models and Gold-layer data products in partnership with Reporting & Analytics. - Keep our systems running strong. Proactively 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.
- Strong Microsoft Fabric expertise. Practical experience with Fabric pipelines, notebooks, Lakehouse, Warehouse, OneLake, and medallion architecture, including independent ownership of Bronze and Silver layers. - The technical skills to solve tough problems. Advanced SQL, working proficiency in Python, experience with data transformations, dimensional modeling, Power BI, and Git-based source control or DevOps practices. Experience with Spark/PySpark, CI/CD, or AI-enabled data solutions is a plus. - A dependable, collaborative mindset. You take ownership, pay attention to the details, communicate clearly, and care about building solutions that last. You're comfortable working independently while staying connected to the people who rely on your work.
Your next step
Complete your application on sammonsindustrial.wd501.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
You belong at a company that treats you like an Owner!
Sammons Industrial is an employee-owned family of businesses dedicated to becoming the preferred single-source solution for industrial operations. Our company is made up of Briggs Industrial Solutions, Sammons Warehouse Solutions, and SitePro Rentals.
Join a team that takes care of you. Here are some ways we do that:
Competitive Pay and Performance-Based Bonuses
Earn retirement savings without any cost to you through our Employee Stock Ownership Plan (ESOP)
401(k)
Training and Tuition Reimbursement
Work/Life Balance
Paid Holidays and Time Off
Health and Wellness Benefits
Tool Benefits, PPE/Uniforms, Safety Boot Program
Life and Short Term Disability paid for by company
Please note: This position is based in Dallas, Texas and will work out of our corporate office in a hybrid capacity each week.
Unfortunately, we are unable to provide immigration support for this role.
How You’ll Make a Difference
As the Business Intelligence Engineer, you'll play a key role in strengthening the data foundation that powers decisions across our businesses. Working primarily in Microsoft Fabric, you'll own and improve the pipelines, transformations, and data structures that turn raw information into reliable, actionable insights.
This is a hands-on opportunity for someone who thrives with independence, takes initiative, and enjoys partnering with others. Your work will help our teams make smarter decisions, support new analytics and AI capabilities, and build a data environment that's ready for what's next.
What You’ll Do
- 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. Keep data flowing accurately, efficiently, and reliably.
- Turn complex data into trusted insights. Use SQL, Python, and dimensional modeling to transform data, improve performance, and support Power BI semantic models and Gold-layer data products in partnership with Reporting & Analytics.
- Keep our systems running strong. Proactively 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.
- Help shape what's next. Partner with IT, Reporting & Analytics, and business teams to improve data quality, strengthen engineering practices, and prepare trusted data for advanced analytics, automation, and AI.
What You’ll Bring
- Proven hands-on data engineering experience. 3–5 years in data engineering, BI engineering, or a related field, with the confidence to independently build, troubleshoot, and manage production data solutions. We value demonstrated ability and real-world experience over a specific degree.
- Strong Microsoft Fabric expertise. Practical experience with Fabric pipelines, notebooks, Lakehouse, Warehouse, OneLake, and medallion architecture, including independent ownership of Bronze and Silver layers.
- The technical skills to solve tough problems. Advanced SQL, working proficiency in Python, experience with data transformations, dimensional modeling, Power BI, and Git-based source control or DevOps practices. Experience with Spark/PySpark, CI/CD, or AI-enabled data solutions is a plus.
- A dependable, collaborative mindset. You take ownership, pay attention to the details, communicate clearly, and care about building solutions that last. You're comfortable working independently while staying connected to the people who rely on your work.
Why You’ll Love Working With Us
You'll join a team that values integrity, looks out for one another, and gives you the trust and opportunity to make a real difference. With a flexible hybrid schedule, meaningful technical challenges, and room to grow, you'll help build something we're all proud of.
Job Details
Pay Type:
SalarySource details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, TX
- Life and Short Term Disability paid for by company Please note: This position is based in Dallas, Texas and will work out of our corporate office in a hybrid capacity each week. Unfortunately, we are unable to provide immigration support for this role.
More source context
Why You’ll Love Working With Us You'll join a team that values integrity, looks out for one another, and gives you the trust and opportunity to make a real difference. With a flexible hybrid schedule, meaningful technical challenges, and room to grow, you'll help build something we're all proud of. Job Details
- Work authorization
Please note: This position is based in Dallas, Texas and will work out of our corporate office in a hybrid capacity each week. Unfortunately, we are unable to provide immigration support for this role. How You’ll Make a Difference