1

Intern Business Intelligence Engineer Jobs in California

A developer on the Business Intelligence team creates designs and develops code for our users to consume and collaborate with information. The position will work in partnership with architects and ...

A developer on the Business Intelligence team creates designs and develops code for our users to consume and collaborate with information. The position will work in partnership with architects and ...

Showing results 21-40

Intern Business Intelligence Engineer information

See California salary details

$10

$19

$29

How much do intern business intelligence engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for intern business intelligence engineer in California is $19.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 per hour, depending on experience, location, and employer.

What does an intern business intelligence engineer do?

An Intern Business Intelligence Engineer assists with collecting, analyzing, and interpreting data to help organizations make informed business decisions. Their responsibilities often include building dashboards, preparing reports, and supporting data warehouse management under the guidance of senior BI engineers. They may also help with data cleaning, automation of data processes, and learning how to use BI tools such as Tableau, Power BI, or SQL. The role is ideal for students or recent graduates interested in data analysis and business strategy. Interns gain hands-on experience in real-world business data environments.

What are the key skills and qualifications needed to thrive as an intern business intelligence engineer?

To thrive as an Intern Business Intelligence Engineer, you need strong analytical skills, a foundation in data analysis, and familiarity with SQL, data modeling, or statistics, often supported by coursework in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, or Looker, and basic knowledge of programming languages like Python or R, are typically expected. Attention to detail, problem-solving ability, and effective communication will help you translate complex data insights into actionable business recommendations. These skills and qualities are vital for transforming raw data into meaningful information that drives informed business decisions.

What types of projects and responsibilities can an intern business intelligence engineer expect during their internship?

As an Intern Business Intelligence Engineer, you’ll typically assist with designing, developing, and maintaining data models, dashboards, and reports that support business decision-making. Your daily tasks may include analyzing large data sets, working with SQL or data visualization tools, and collaborating closely with data analysts, engineers, and business stakeholders. Interns often get hands-on experience with real-world business problems, learn best practices in data management, and may even contribute to process automation or reporting improvements. This role provides a valuable opportunity to develop technical skills, gain exposure to industry-standard BI tools, and understand how data-driven insights influence business strategies.

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

AspectIntern Business Intelligence EngineerData Analyst Intern
Required SkillsSQL, data modeling, BI tools, basic programmingExcel, SQL, data visualization, statistical analysis
Work EnvironmentDeveloping dashboards, data pipelines, supporting BI solutionsData cleaning, reporting, analyzing datasets
Industry UsageTech, finance, consulting firms with BI teamsMarketing, retail, healthcare sectors

Intern Business Intelligence Engineers focus on building and maintaining BI tools and data pipelines, often requiring knowledge of SQL and data modeling. Data Analyst Interns primarily analyze datasets and create reports using Excel and visualization tools. Both roles are common in data-driven industries but differ in technical scope and responsibilities.

What are the most commonly searched types of Business Intelligence Engineer jobs in California?

The most popular types of Business Intelligence Engineer jobs in California are:

What cities in California are hiring for Intern Business Intelligence Engineer jobs?

Cities in California with the most Intern Business Intelligence Engineer job openings:

Infographic showing various Intern Business Intelligence Engineer job openings in California as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $39,648 per year, or $19.1 per hour.

Business Intelligence Engineer at Kohl & Frisch Ltd Ontario, CA

kozmetickesluzby.vecnakraska.sk - Jobboard

Ontario, CA • On-site

$90 - $120/hr

Other

Posted 2 days ago

New


Job description

Business Intelligence Engineer job at Kohl & Frisch Ltd. Ontario, CA.

POSITION: Business Intelligence Engineer

STATUS: Full-Time, Hybrid

LOCATION: Kohl & Frisch Limited (Concord, ON )

REPORTS TO: Manager, IT Business Intelligence Services

DEPARTMENT: IT Systems & Development

Founded in 1916, Kohl & Frisch Limited has a solid reputation in the healthcare industry that distinguishes it as the only national, Canadian-owned and operated wholesale distributor. A family-owned company, it is one of Canada’s leading national distributors and is the essential link between pharmaceutical manufacturers and healthcare providers. Kohl & Frisch is fully equipped to service large chain retailers, independent pharmacies, clinics, and hospitals for all their Rx, OTC, home healthcare, and front shop needs.

Primary Role of This Position

Are you passionate about building modern data solutions in the cloud? Do you thrive in a fast-evolving environment where data is at the heart of business transformation? We’re looking for a skilled Business Intelligence/Data Engineer to help drive our transition to a cutting-edge Azure-based BI ecosystem. As part of our team, you’ll design and develop data pipelines, optimize reporting solutions, and play a key role in evolving our data landscape from legacy systems to the latest Microsoft technologies. While our transition progresses, you’ll be instrumental in ensuring data integrity and supporting seamless reporting. This is an exciting opportunity to work with Microsoft Fabric, Azure Data Factory, and Power BI in a dynamic and forward-thinking environment.

IN OFFICE REQUIREMENTS – Tuesday, Wednesday, Thursday

Major Responsibilities
  • Partner with stakeholders to understand data needs and create scalable, efficient solutions
  • Design and maintain automated data pipelines using Microsoft Fabric and Azure Data Factory
  • Develop and implement ETL/ELT processes to support data migration from SSIS to Fabric and Azure
  • Optimize SQL queries and stored procedures to improve reporting and data processing performance
  • Renovate and enhance existing Power BI and SSRS reports
  • Ensure data accuracy, consistency, and security within BI solutions
  • Support self-service BI initiatives, empowering business users with high-quality, accessible data
  • Collaborate with business and technical teams to enhance data usability and accessibility
  • Document technical designs and contribute to continuous improvement
Beyond the Transition – Your Future Impact

After the successful transition to Microsoft Fabric and Azure-based BI solutions, your role will evolve to:

  • Enhance data pipelines for efficiency and scalability
  • Maintain and advance data architecture to meet evolving business needs
  • Develop advanced analytics and reporting capabilities leveraging Azure technologies and Power BI
  • Automate and optimize data processing for peak performance
  • Monitor and improve data quality, governance, and security frameworks
  • Research and implement cutting-edge Microsoft data solutions
  • Provide mentorship and knowledge-sharing to elevate the entire team
What You Bring
  • 5+ years of experience in data engineering and BI solutions
  • Strong expertise in ETL/ELT, SQL-based data transformation, and data modeling
  • Proficiency in Power BI (DAX, Power Query) and SSRS
  • Hands-on experience with Azure Data Factory, Data Lake, Synapse, Microsoft Fabric, and Databricks
  • Experience with medallion data architecture (preferred)
  • Understanding of data governance and security standards
  • Supply chain industry data experience is a plus (preferred, not required)
  • Microsoft Certification in Azure Data Engineering is a strong asset
Who You Are
  • A problem-solver who enjoys tackling complex data challenges
  • A self-started who thrives in a fast-paced, evolving environment
  • Passionate about efficiency, automation, and innovation in data engineering
  • A collaborative team player who enjoys sharing knowledge and learning from others
Why Join Us?
  • Work on a high-impact transformation, shaping the future of BI at Kohl & Frisch
  • Gain hands-on experience with cutting-edge Microsoft technologies
  • Be part of a collaborative, forward-thinking team that values innovation
  • Enjoy opportunities for growth, learning, and professional development

If you’re ready to take your data engineering career to the next level, apply now and be part of this exciting transformation!

Kohl & Frisch would like to thank all applicants for their interest. Only those candidates who are selected for an interview will be contacted.

Kohl & Frisch Limited welcomes applications from individuals with disabilities and provides accommodations upon request for candidates taking part in the selection process.

#J-18808-Ljbffr