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Principal Engineer Business Intelligence Jobs (NOW HIRING)

Zillow

Principal Business Intelligence Manager

$143K - $229K/yr

This Principal Business Intelligence Manager role helps define that foundation, shaping the ... Partner with Data Engineering, Product Analytics, and central data-platform teams on implementation ...

Jobgether

$39.25 - $51/hr

Our partner is looking for a Business Intelligence Engineer based in Netherlands. This is a high-impact data role within a fast-moving AI technology environment, with ownership spanning the full ...

Comrise

Business Intelligence Engineer

Irvine, CA · On-site

$79 - $89/hr

Business Intelligence Engineer Location: Irvine, CA (Onsite) Employment Type: Contract (3 Months) Pay Rate: $79-$89/hour (W2) Industry: Medical Technology & Manufacturing Note: * This opportunity is ...

IEEE

NJ · On-site

$125 - $150/hr

Job Summary As a Principal Engineer for Business Process Automation, you will play a pivotal role in the end-to-end lifecycle of enterprise workflow automation solutions using no-code/low-code ...

84.51

Business Intelligence Engineer

Deerfield Beach, FL · Remote

$49.25 - $64/hr

As a Senior Business Intelligence Engineer, you will be part of a cross-functional team, applying your skill, experience, and creativity towards designing and building complex and scalable BI ...

Yahoo Inc.

$200 - $250/hr

... business--and the world. About Us The Consumer Data's Foundations & AI Platform Engineering team ... Principal Engineer (IC5) to lead the architecture and development of AI-powered data intelligence ...

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How much do principal engineer business intelligence jobs pay per year?

As of Sep 8, 2026, the average yearly pay for principal engineer business intelligence in the United States is $147,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $173,000.00 per year, depending on experience, location, and employer.

Is principal engineer business intelligence a high paying job?

Principal Engineer Business Intelligence roles are typically high-paying positions within organizations, reflecting advanced technical skills, leadership responsibilities, and expertise in data analysis, data warehousing, and BI tools. Salaries often exceed industry averages for engineering roles and can vary based on experience, location, and company size.

Is principal engineer business intelligence still in demand?

Principal Engineer Business Intelligence roles remain in high demand due to the increasing reliance on data-driven decision making across industries. These professionals are skilled in data modeling, analytics tools, and cloud platforms, and their expertise is essential for organizations seeking to leverage large datasets for strategic insights.

What cities are hiring for Principal Engineer Business Intelligence jobs?

Cities with the most Principal Engineer Business Intelligence job openings:

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States with the most job openings for Principal Engineer Business Intelligence jobs include:

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For Principal Engineer Business Intelligence jobs, the most frequently searched job titles are:

Infographic showing various Principal Engineer Business Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $147,220 per year, or $70.8 per hour.

Principal Engineer, Business Intelligence

Hiram, OH • On-site

Great Lakes Cheese
Food and Drink Manufacturing • 1 - 5K employees
Learn more about Great Lakes Cheeseexternal

Full-time

Posted 15 days ago

Great Lakes Cheese rating

7.4

Company rating: 7.4 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

171st of 445 rated food and drinks producers

Job description

Job Responsibilities
Position: Principal Engineer, Business Intelligence, Great Lakes Cheese Co. Inc., 17955 Great Lakes Parkway, Hiram, OH 44234
Duties: Lead strategic requirement gathering and solution architecture sessions with business stakeholders and senior leadership to strategically develop the BI roadmap and ensure alignment with corporate objectives. Govern the design of cutting-edge, complex data visualizations and dashboards (e.g., using Business Objects/SAC) to enable executive decision-making and provide a strategic view of business performance. Own and manage the security model and governance framework for the Business Objects environment, ensuring data integrity and adherence to organizational policies. Design, develop, and optimize advanced ETL/ELT data pipelines across complex, heterogeneous source systems. Develop solutions for modern data flow migration and performance tuning across various BW landscapes. Proactively assess and lead initiatives for continuous improvement, setting standards for data loading efficiencies and overall environment optimization to ensure scalability and high availability. Ability to perform cutover and administrative activities on SAP BW application during Go-Live and System upgrades. Serve as a subject matter expert (SME) in BI systems, independently analyzing the strategic impact of major application releases (e.g., SAP upgrades) and developing comprehensive mitigation and adoption strategies for the corporation. Mentor and provide technical leadership to junior analysts and engineers, and develop comprehensive training programs that drive enterprise-wide self-service BI adoption.
Requirements: Bachelor's degree in Engineering, Data Science, or a closely related field. Must have: 6 years of experience in architecting and implementing large-scale SAP BW/BI solutions within a corporate environment; 6 years of experience with SAP data warehousing concepts, including advanced proficiency in Eclipse modeling, ADSO, Composite Providers, and the migration of data flows (e.g., BW to BW/4HANA readiness); 6 years of experience leading the full lifecycle of complex BI projects, including strategic planning, detailed design, deployment, and post-implementation governance; 3 years of experience with SAP ECC/S/4HANA functional modules, specifically in the context of extracting, transforming, and modeling data for strategic reporting purposes; 3 years of experience in data analysis using native SQL or Python; 3 years of experience in System administration and Upgrade activities and Pre and Post Cutover activities; 1 year of experience using HANA, SAP Cloud Platform, Data Intelligence, and Data Science statistical models; 1 year of experience leading full lifecycle BW/4HANA implementation projects; 1 year experience leading major cloud migration initiatives (e.g., to SAP Analytics Cloud, Azure, or AWS).
Great Lakes Cheese is an Equal Opportunity Employer - Protected Veterans/Individuals with Disabilities.
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