Business Intelligence Engineer Ii information
See salary details
$29.09 - $33.68
0% of jobs
$33.68 - $38.26
1% of jobs
$38.26 - $42.85
6% of jobs
$42.85 - $47.44
10% of jobs
$48.90 is the 25th percentile. Wages below this are outliers.
$47.44 - $52.03
23% of jobs
The median wage is $54.98 / hr.
$52.03 - $56.62
15% of jobs
$56.62 - $61.21
14% of jobs
$63.18 is the 75th percentile. Wages above this are outliers.
$61.21 - $65.80
15% of jobs
$65.80 - $70.39
8% of jobs
$70.39 - $74.98
4% of jobs
$74.98 - $79.57
4% of jobs
How much do business intelligence engineer ii jobs pay per hour?
As of Sep 14, 2026, the average hourly pay for business intelligence engineer ii in the United States is $57.05, according to ZipRecruiter salary data. Most workers in this role earn between $49.04 and $63.70 per hour, depending on experience, location, and employer.
A Business Intelligence Engineer II is a mid-level professional responsible for designing, developing, and maintaining business intelligence solutions such as dashboards, data models, and reporting systems. They work closely with data sources to extract, transform, and load (ETL) data, analyze business requirements, and deliver actionable insights to support decision-making. This role often requires proficiency in SQL, data visualization tools, and programming languages like Python or R. Business Intelligence Engineer IIs typically collaborate with stakeholders across departments to ensure data accuracy and drive business growth.
As a Business Intelligence Engineer II, you'll often serve as a bridge between technical teams and business units. You'll work closely with data analysts to understand data requirements and ensure that data models, dashboards, and reports are aligned with business objectives. Regular meetings with stakeholders help clarify reporting needs, gather feedback, and refine BI solutions. This collaboration ensures that your work drives actionable insights and supports strategic decision-making across the organization.
To thrive as a Business Intelligence Engineer II, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or related fields, often supported by a relevant degree. Expertise in SQL, data warehousing platforms (like Redshift or Snowflake), BI tools (such as Tableau or Power BI), and sometimes certifications in cloud technologies are typically required. Problem-solving, effective communication, and collaboration are essential soft skills for translating business needs into data solutions and working with cross-functional teams. These skills and qualifications are vital for delivering actionable insights that drive strategic business decisions and optimize organizational performance.
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