Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
2001 Joshua Rd, Lafayette Hill, PA 19444, USA
Likely evergreen, first seen by us todayBuild and maintain semantic models and transformations on Microsoft Fabric
Build advanced DAX measures and complex calculation logic for high-priority reports
Define and maintain row-level and object-level security across semantic models
Manage workspace access, capacities, and permissions in Fabric and Power BI
Build and maintain scalable semantic models, calculated tables, and transformations on top of our Microsoft Fabric (OneLake, Lakehouses, and Warehouses)
Build advanced DAX measures, calculated columns, and complex calculation logic for high-priority or high-complexity reports.
Define and maintain row-level security (RLS) and object-level security (OLS) across semantic models and datasets.
Manage workspace-level access provisioning, capacities, and permissions in the Fabric / Power BI service.
Bachelor's Degree or the equivalent combination of education, professional training, or work experience. 4+ years' experience in BI development, with hands-on Power BI experience including DAX, data modeling, and row-level security. Direct hands-on experience with the Microsoft Fabric ecosystem (Data Factory pipelines, Notebooks, Lakehouse management).
Possess strong SQL skills, with direct experience querying cloud data platforms, lakehouses, or data warehouses. Have experience managing Power BI/Fabric workspace administration, user permissions, and deployment pipelines. Experience with Microsoft Fabric Adaptive Query Optimization (FAQO) for improving semantic model performance and managing query execution across Power BI datasets. Have a proven ability to diagnose performance bottlenecks and refresh failures in production BI environments.
Experience with advanced external development tools such as Tabular Editor and DAX Studio. Experience with Power BI Project files (PBIP) and Git-based version control workflows.
About You: Bachelor's Degree or the equivalent combination of education, professional training, or work experience. 4+ years' experience in BI development, with hands-on Power BI experience including DAX, data modeling, and row-level security. Direct hands-on experience with the Microsoft Fabric ecosystem (Data Factory pipelines, Notebooks, Lakehouse management). Our ideal candidate will also:
Likely evergreenReposted 2 times since Oct 2, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
Our ideal candidate will also: Possess strong SQL skills, with direct experience querying cloud data platforms, lakehouses, or data warehouses. Have experience managing Power BI/Fabric workspace administration, user permissions, and deployment pipelines. Experience with Microsoft Fabric Adaptive Query Optimization (FAQO) for improving semantic model performance and managing query execution across Power BI datasets. Have a proven ability to diagnose performance bottlenecks and refresh failures in production BI environments. Additional Nice-to-Haves / Growth Opportunities include:
Optimize model performance, including query speed, refresh times dataset size, and leveraging Fabric’s Direct Lake mode where applicable. Update existing models as source data or business rules change, coordinating with our IT Engineering team when upstream Fabric pipeline or delta table schema changes are involved. Define and maintain row-level security (RLS) and object-level security (OLS) across semantic models and datasets.
Are you skilled at building semantic models and translating complex data into reports people trust? Do you know how to manage permissions and access across a growing library of dashboards? Are you detail-oriented, deadline-driven, and comfortable owning a build from data model through finished report? If so, then we’d like you to join our dedicated team as a BI Developer. About the Role: As a BI Developer, you will own the end-to-end business intelligence lifecycle, optimizing how data moves from our Microsoft Fabric environment into high-performing Power BI semantic models and dashboards. You will work closely with Analysts to establish a "single source of truth," manage workspace governance, and ensure data security across the organization. You will:
Define and maintain row-level security (RLS) and object-level security (OLS) across semantic models and datasets. Manage workspace-level access provisioning, capacities, and permissions in the Fabric / Power BI service. Enforce naming conventions, visual layout standards, and folder/workspace structure standards.
About You: Bachelor's Degree or the equivalent combination of education, professional training, or work experience. 4+ years' experience in BI development, with hands-on Power BI experience including DAX, data modeling, and row-level security. Direct hands-on experience with the Microsoft Fabric ecosystem (Data Factory pipelines, Notebooks, Lakehouse management). Our ideal candidate will also:
Additional Nice-to-Haves / Growth Opportunities include: Experience with advanced external development tools such as Tabular Editor and DAX Studio. Experience with Power BI Project files (PBIP) and Git-based version control workflows. Web Integration & Application Scripting (Growth & Adaptability): Possess a basic understanding of, or a strong interest in learning, how to connect front-end and back-end web applications (such as React, .NET and Node.js) with the Power BI REST API. Over time, you will learn to manage and support scripts that query data and apply dynamic filtering from the BI environment. This is an excellent growth opportunity for a data professional looking to expand their full-stack and API integration skills. Customer service oriented, professional, organized, and focused on attaining team goals.
Experience with advanced external development tools such as Tabular Editor and DAX Studio. Experience with Power BI Project files (PBIP) and Git-based version control workflows. Web Integration & Application Scripting (Growth & Adaptability): Possess a basic understanding of, or a strong interest in learning, how to connect front-end and back-end web applications (such as React, .NET and Node.js) with the Power BI REST API. Over time, you will learn to manage and support scripts that query data and apply dynamic filtering from the BI environment. This is an excellent growth opportunity for a data professional looking to expand their full-stack and API integration skills. Customer service oriented, professional, organized, and focused on attaining team goals. Able to prioritize work and multi-task across concurrent report builds and enhancement requests. Strong oral and written communication skills to convey technical concepts clearly to business stakeholders. Strong attention to detail and the ability to meet deadlines.
Complete your application on jobs.dayforcehcm.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other BI Developer jobs there since October 2026. 2 came down, usually after about 1 day.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
2001 Joshua Rd, Lafayette Hill, PA 19444, USA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.