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How much do business intelligence engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for business intelligence engineer in California is $56.30, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $62.88 per hour, depending on experience, location, and employer.

What is a business intelligence engineer?

Business Intelligence Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, analyze, and interpret data. They create dashboards, reports, and data models that enable business leaders to make informed decisions. Their work typically involves data warehousing, ETL (extract, transform, load) processes, and the use of tools such as SQL, Power BI, or Tableau. BI Engineers bridge the gap between raw data and actionable business insights, playing a crucial role in data-driven organizations.

What are the key skills and qualifications needed to thrive as a business intelligence engineer, and why are they important?

To thrive as a Business Intelligence Engineer, you need strong analytical skills, expertise in data modeling, and a background in computer science or a related field. Proficiency with BI tools like Tableau, Power BI, SQL, and data warehousing systems, as well as certifications in these platforms, are highly valuable. Excellent problem-solving abilities, effective communication, and attention to detail help you translate complex data into actionable business insights. These skills ensure accurate data analysis and reporting, empowering organizations to make data-driven decisions.

How does a business intelligence engineer typically collaborate with data analysts and business stakeholders?

Business Intelligence Engineers work closely with data analysts to design and optimize data models, build robust data pipelines, and ensure accurate reporting. They also engage with business stakeholders to understand their data needs, translate requirements into technical solutions, and provide actionable insights that support decision-making. Regular collaboration involves meetings to review project progress, clarify business objectives, and adjust deliverables based on feedback, fostering a dynamic and cross-functional team environment.

What is the difference between Business Intelligence Engineer vs Data Analyst?

AspectBusiness Intelligence EngineerData Analyst
CredentialsBachelor's in CS, IT, or related field; SQL, BI toolsBachelor's in Statistics, Math, or related field; SQL, Excel
Work EnvironmentDevelops data pipelines, dashboards, reports; collaborates with IT and business teamsAnalyzes data, creates reports, visualizations; works closely with business units
Industry UsageUsed across tech, finance, healthcare for data infrastructureCommon in marketing, finance, retail for insights and reporting

Business Intelligence Engineers focus on building data infrastructure, pipelines, and dashboards to enable data-driven decisions. Data Analysts interpret data, generate reports, and provide insights. Both roles require SQL and data visualization skills but differ in scope and responsibilities.

How much does a business intelligence engineer make?

The average salary for a business intelligence engineer in the United States ranges from $80,000 to $130,000 per year, depending on experience, location, and industry. Professionals with skills in data analysis, SQL, and tools like Tableau or Power BI tend to earn higher salaries, especially with advanced certifications or experience in large organizations.

What do business intelligence engineers do?

Business intelligence engineers analyze data to help organizations make informed decisions by designing and maintaining data pipelines, dashboards, and reports. They often use tools like SQL, data visualization software, and programming languages such as Python or R to extract, process, and interpret large datasets.
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Business Intelligence Engineer jobs near you
Infographic showing various Business Intelligence Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,106 per year, or $56.3 per hour.

Business Intelligence Developer

Sunsweet Growers

Yuba City, CA • On-site

$37.13 - $51.56/hr

Full-time

Re-posted 27 days ago

Sunsweet Growers rating

4.6

Company rating: 4.6 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

422nd of 444 rated food and drinks producers

Job description

We are looking for a talented and driven Business Intelligence Developer to enhance our reporting and analytic capabilities. The ideal candidate for this role will take charge of creating, evolving, and maintaining our BI environment. These responsibilities will enable our business users to make more informed decisions by leveraging advanced data analytics, compelling data visualization, and robust data modeling techniques. You will be key in transforming data into insights that drive our business strategies and objectives.
ESSENTIAL DUTIES AND RESPONSIBILITIES
The following duties are normal for this position. These are not to be construed as exclusive or all-inclusive. Other related duties may be required and assigned.
  1. Configure and implement the BI platform and related systems, including integration with databases and data warehousing.
  2. Develop dashboards, reports, and visualizations to present complex data in an understandable and actionable format.
  3. Build and maintain data models to ensure the accuracy and relevancy of the data. Manage database performance, security, and integrity.
  4. Oversee data extraction, transformation, and loading from various sources into a usable form for business analysis.
  5. Work closely with stakeholders to understand their data needs and translate business requirements into technical solutions.
  6. Work closely with, and direct the work of consultants on projects as needed.
  7. Provide ongoing support and training to users on BI tools and data analytics.
  8. Perform regular maintenance and updates to existing BI solutions to enhance functionality and incorporate new data sources or analytics capabilities.
  9. Ensure the accuracy, completeness, and reliability of the data used for analysis. Implement data governance policies and practices, including security access and controls.

MINIMUM QUALIFICATIONS
Knowledge/Skills:
  • Strong knowledge of popular BI tools and software.
  • Experience in database management and data modeling, with a strong command of SQL.
  • Experience with ETL tools and processes.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills
  • Familiarity with data warehousing concepts and best practices.
  • Prior experience with SAP, SAP Analytics Cloud (SAC), SAP Data Warehouse Cloud (SAP DWC), SAP DataSphere, etc. is strongly preferred.
  • Knowledge of programming languages for data analysis and manufacturing processes and supply chain concepts is a plus.
  • Certification in BI technologies or data analytics.

Ability to:
  • Interact with team members and stakeholders.
  • Translate business requirements into non-technical terms.

Education and Experience:
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.
  • One to three years of proven experience as a BI Developer or Data Scientist.

Physical/Safety Requirements:
  • Tolerate extended periods of sitting at desk.
  • Ambient noise is louder than a traditional office setting.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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