ZipRecruiter

Log In

1

Business Intelligence Bi Engineer Jobs (NOW HIRING)

Robert Half

Business Intelligence (BI) Engineer

Reston, VA · On-site

$100K - $125K/yr

We are looking for an experienced Business Intelligence Engineer to lead and elevate our enterprise ... Create and enhance Power BI dashboards and semantic models, with attention to usability ...

Canal Insurance Company

$100 - $125/hr

Generous PTO Plan Business Intelligence (BI) Developer Canal Insurance Company is seeking a highly skilled Business Intelligence (BI) Developer to design, develop, and deliver enterprise-grade ...

Apex 2000

BI Engineer

Seattle, WA · On-site

$58 - $75.50/hr

Assuming you mean a Business Intelligence (BI) Engineer , here s a solid standard version you can adapt. BI Engineer Role Summary responsible for designing, developing, and maintaining scalable data ...

next page

Showing results 1-20

All JobsTechnology JobsData JobsBusiness Intelligence Professional JobsBusiness Intelligence Bi Engineer Jobs

Business Intelligence Bi Engineer information

See salary details

$29

$57

$79

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

As of Sep 9, 2026, the average hourly pay for business intelligence bi engineer 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.

What is a Business Intelligence BI engineer?

Business Intelligence (BI) Engineers are professionals who design, develop, and maintain systems and processes that help organizations collect, store, and analyze business data. They create and manage data warehouses, build ETL (Extract, Transform, Load) pipelines, and develop dashboards and reports that provide valuable insights for decision-making. BI Engineers work closely with data analysts, data scientists, and business stakeholders to ensure data accuracy and accessibility. Their work enables organizations to make data-driven decisions and improve overall business performance.

What are the key skills and qualifications needed to thrive as a Business Intelligence BI engineer?

To thrive as a Business Intelligence (BI) Engineer, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database concepts, typically supported by a degree in computer science, information systems, or a related field. Experience with BI tools such as Power BI, Tableau, or Looker, as well as SQL and data warehousing technologies, is essential, and certifications in these platforms can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help BI Engineers translate complex data into actionable insights for stakeholders. These skills and qualities are vital for delivering accurate, data-driven solutions that support strategic business decision-making.

What are some common challenges Business Intelligence BI engineers face when integrating data from multiple sources?

Business Intelligence BI Engineers often encounter challenges when consolidating data from various sources, such as ensuring data consistency, managing differing data formats, and resolving discrepancies in data quality. Integrating legacy systems with modern analytics platforms can also be complex, requiring careful mapping and validation. Effective communication with stakeholders from IT, business, and analytics teams is crucial to clarify requirements and resolve integration issues. Staying adaptable and detail-oriented helps BI Engineers deliver reliable, actionable insights from diverse datasets.

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

AspectBusiness Intelligence Bi EngineerData Analyst
Required SkillsData modeling, SQL, ETL, BI toolsData visualization, statistical analysis, Excel
Work EnvironmentDeveloping dashboards, maintaining BI systemsInterpreting data, creating reports
CertificationsBI certifications, SQL certificationsData analysis certifications, Excel certifications
Industry UsageBusiness intelligence teams, data engineeringMarketing, finance, operations analysis

While both roles work with data, Business Intelligence Bi Engineers focus on building and maintaining BI systems and dashboards, whereas Data Analysts interpret data to provide insights. BI Engineers typically handle data infrastructure, while Data Analysts focus on analysis and reporting.

What states have the most Business Intelligence Bi Engineer jobs?

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

What are popular job titles related to Business Intelligence Bi Engineer jobs?

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

Infographic showing various Business Intelligence Bi Engineer job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Business Intelligence (BI) Engineer

Seattle, WA • On-site

Spruce Infotech
IT Services • 1 - 10 employees
Learn more about Spruce Infotechexternal

$58 - $75.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a highly skilled Business Intelligence (BI) Engineer with strong experience in Tableau, AWS cloud technologies, and data warehousing to design, develop, and maintain scalable analytics and reporting solutions. The ideal candidate will possess expertise in transforming complex datasets into actionable business insights, building interactive dashboards, and enabling data-driven decision-making across the organization.
Key Responsibilities
  • Design, develop, and maintain enterprise BI solutions using Tableau.
  • Create interactive dashboards, scorecards, and reports to support business stakeholders.
  • Develop and optimize data models, ETL/ELT processes, and reporting architectures.
  • Build and maintain data pipelines using AWS services.
  • Integrate data from multiple sources including databases, cloud platforms, APIs, and enterprise applications.
  • Collaborate with business users to gather requirements and translate them into analytical solutions.
  • Perform data validation and ensure data accuracy, integrity, and governance.
  • Monitor and optimize Tableau dashboard performance and underlying queries.
  • Support data warehouse design and implementation activities.
  • Document data flows, business rules, and reporting requirements.
  • Partner with cross-functional teams to identify opportunities for automation and analytics enhancements.

Required Qualifications
  • 5+ years of experience in Business Intelligence, Data Analytics, or Data Engineering.
  • Strong hands-on experience with Tableau Desktop and Tableau Server/Cloud.
  • Advanced SQL development and query optimization skills.
  • Experience developing BI solutions in AWS environments.
  • Strong understanding of data warehousing concepts, dimensional modeling, and ETL processes.
  • Experience working with large-scale datasets and complex reporting environments.

Required Technical Skills
Tableau
  • Tableau Desktop
  • Tableau Server / Tableau Cloud
  • Dashboard Development
  • Data Visualization Best Practices
  • LOD Expressions
  • Calculated Fields
  • Parameters & Actions
  • Performance Optimization

AWS
  • Amazon Redshift
  • AWS Glue
  • Amazon S3
  • Amazon Athena
  • AWS Lambda
  • Amazon RDS
  • IAM and Security Controls
  • CloudWatch

Data & Analytics
  • Advanced SQL
  • Data Modeling (Star/Snowflake Schema)
  • Data Warehousing
  • ETL/ELT Development
  • Data Quality Management
  • Business Reporting & Analytics

Preferred Skills
  • Python or PySpark development experience.
  • Experience with Power BI, QuickSight, or other visualization tools.
  • Knowledge of AWS Lakehouse/Data Lake architectures.
  • Experience with CI/CD and DevOps practices.
  • Familiarity with Agile/Scrum methodologies.
  • Tableau certification and/or AWS certification preferred.

Key Competencies
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to translate business requirements into technical solutions.
  • Strong attention to detail and commitment to data quality.
  • Ability to work independently in a fast-paced environment.

Apply