Mid Level Business Intelligence Engineer Jobs

Mid level business intelligence engineer jobs go to engineers ready to own data pipelines and reporting systems end to end, mentor junior analysts, and drive decisions with limited oversight. Openings run across Technology & Software, Manufacturing, and Healthcare & Medical Services, with 50% remote or hybrid availability, and employers like Amazon, MidFirst Bank, and United Rentals hiring at this level now.

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Overview

Open roles49
Top stateFlorida
Top employerAmazon
Top cityMiramar, FL
Work type50% On-site
Top industryTechnology

Showing 4 of 49+ Mid Level Business Intelligence Engineer jobs

Senior Business Intelligence Analyst
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Added 1d ago
Senior Business Intelligence Analyst
Memorial Healthcare System
Hollywood, Florida
Business Analysis
Data Science & Analytics
Business Operations
Data Science
Data Analytics
On-Site
Bachelor's

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Business Intelligence Engineer III
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Added 6d ago
Business Intelligence Engineer III
Sutter Health
Sacramento, California
Data Science & Analytics
Data Engineering
Software Engineering
Business Analysis
Technical Product & Program Management
Data Science
$94k - $176k/yr
On-Site
Bachelor's

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Business Intelligence Engineer II
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Added 1w ago
Business Intelligence Engineer II
Amazon.com
Bellevue, Washington
Data Science & Analytics
Business Analysis
Project & Program Management
Data Science
Data Analytics
Project Management
Program Management
$100k - $185k/yr
On-Site
Bachelor's
10,000+

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Business Intelligence Consultant
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Added 1w ago
Business Intelligence Consultant
Verizon
Lake Mary, Florida
AI (Artificial Intelligence)
Data Science
Software Engineering
$78k - $150k/yr
Hybrid
Master's degree in business administration
10,000+

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See All 49 Mid Level Business Intelligence Engineer Jobs

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Mid Level Business Intelligence Engineer Job Market

Who's Hiring

Amazon6 open roles
MidFirst Bank2 open roles
United Rentals2 open roles

Top Industries Hiring

  • Technology & Software
  • Manufacturing
  • Healthcare & Medical Services
  • Consulting & Professional Services
  • Education

Mid Level Business Intelligence Engineer Jobs: Frequently Asked Questions

How do I get a mid level business intelligence engineer job?

Position yourself by leading with concrete ownership: dashboards you built from scratch, pipelines you maintained independently, or business decisions your analysis directly influenced. Highlight proficiency in SQL, a BI platform like Tableau or Power BI, and at least one data warehouse environment. Tailoring your resume to show scope of impact rather than task completion is what moves mid level applications to the top of the stack.

Which companies hire mid level business intelligence engineers?

Companies hiring mid level business intelligence engineers right now include Amazon, MidFirst Bank, and United Rentals, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises with established data teams and fast-growing mid-size companies building out their analytics capabilities.

Are there remote mid level business intelligence engineer jobs?

Yes, remote and hybrid options are common at this level. About 50% of mid level business intelligence engineer openings are remote or hybrid as of November 2026, reflecting how data-focused roles translate well to distributed team structures. Filtering by work setting when you search lets you zero in on openings that match your preferences.

How do I move up to a mid level business intelligence engineer role?

The path from entry level to mid level centers on depth and ownership. Early career, you build fluency in SQL, ETL processes, and a core BI tool. Over time, you take on full project ownership, move from executing tasks to shaping analytical frameworks, and demonstrate measurable business impact. Engineers who document results, contribute to data modeling decisions, and mentor peers consistently make that transition fastest.

Which industries hire the most mid level business intelligence engineers?

Mid Level business intelligence engineer roles concentrate in Technology & Software, Manufacturing, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors generate high volumes of operational data that require experienced engineers to translate into reporting systems and decision-ready insights.