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How much do business intelligence engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for business intelligence engineer in Virginia is $56.56, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.17 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 Virginia as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $117,642 per year, or $56.6 per hour.

Business Intelligence /Data Engineer

Technamo LLC

Springfield, VA • On-site

Full-time

Re-posted 29 days ago

Job description

Company Description
TECHNAMO is a niche, dynamic IT services and solutions provider, VA SWaM certified, Microsoft Cloud Certified Partner, focused on providing IT Solutions & Services to government and commercial companies. Technamo is a Prime vendor for Maryland state agencies, Tier-I Contractor to provide IT Services to virginia govt. agencies (70+ entities) and contracted to provide services to state govt. New Jersey, Pennsylvania, Arkansas and Maryland govt. agencies.
Job Description
Business Intelligence / Data Engineer
Analyzing complex data structures in various data sources in heterogeneous technology environment.
Analyze end customer automation requirements of systems integration, data sources, data structures, data types.
As a Business Intelligence / Data Engineer you will be responsible to create data-driven system based cloud enabled environment
Work with AI/ML services including integration of services and APIs to create new solutions in AWS/Azure cloud environment
You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization.
Design new modeling applications to support risk measurement, financial valuation, decision making, and business performance.
Design data visualizations, technical documentation, and non-technical presentation materials to communicate complex ideas and solutions to business partners.
Qualifications
  • Candidate must have at the minimum, a Bachelor or higher degree or its equivalent in Computer Science or any engineering in related fields
  • Minimum 3 years of experience in data engineering, data wearehouse, reports
  • Experience with Data modeling, SQL, ETL , Data Warehousing and Datalakes
  • Experience in data analysis and engineering, ETL and analytics, reports and experience in building real-time data products
  • Experience in writing SQL scripts, functions, stored procedures, expertise in an enterprise RDBMS
  • Experience with enterprise-class Business Intelligence tools such as Microstrategy, Tableau, Penthao, etc.
  • Experience with scripting language such as Python, Perl, R or Javascript
  • Strong knowledge of AWS products and services

Additional Information
All your information will be kept confidential according to EEO guidelines.

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