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Business Intelligence Data Engineer Jobs (NOW HIRING)

Tebra

Senior Business Intelligence Engineer

OR · Remote

$51 - $66.25/hr

Advanced Data Modeling: Develop and optimize data models, data flows, and processes to support high ... Experience: 5+ years of experience in Business Intelligence, data engineering, or analytics, with ...

Kohl & Frisch Ltd

Business Intelligence Engineer

Concord, NH · Hybrid

$51.25 - $66.75/hr

Business Intelligence Engineer STATUS: Full-Time, Hybrid LOCATION: Kohl & Frisch Limited (Concord ... Develop data flows, Power BI dashboards and reports for internal and external stakeholders.

Lorven Technologies

Data Modeler

Charlotte, NC · On-site

$53.50 - $69.25/hr

... Engineering. The ideal candidate will possess extensive knowledge in data architecture, data management, and business intelligence data warehousing (BIDW). This role requires a strategic thinker who ...

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

As of May 31, 2026, the average hourly pay for business intelligence data 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 are the key skills and qualifications needed to thrive as a Business Intelligence Data Engineer, and why are they important?

To thrive as a Business Intelligence Data Engineer, you need strong skills in data modeling, ETL development, SQL, and a background in computer science or a related field. Proficiency with BI tools (e.g., Tableau, Power BI), data warehousing platforms (like Snowflake or Redshift), and certifications such as Microsoft Certified: Data Analyst Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for translating business requirements into actionable insights. These competencies ensure reliable data infrastructure, accurate reporting, and successful collaboration with stakeholders to drive informed business decisions.

How do Business Intelligence Data Engineers typically collaborate with analysts and business stakeholders?

Business Intelligence Data Engineers frequently work alongside data analysts and business stakeholders to ensure data pipelines and reporting tools meet organizational needs. They translate business requirements into technical specifications, build or optimize data models, and provide clean, reliable datasets for analysis. Regular communication and feedback loops are essential, as data engineers must adapt solutions to evolving business questions and ensure data integrity throughout the process. This collaborative approach helps deliver actionable insights and supports data-driven decision-making across teams.

What is a Business Intelligence Data Engineer?

A Business Intelligence (BI) Data Engineer is a professional responsible for designing, building, and maintaining the infrastructure and processes that allow organizations to collect, store, and analyze data for business decision-making. They work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for reporting and analytics. Typical tasks include developing data pipelines, integrating data from various sources, and ensuring data quality and security. Their work enables organizations to transform raw data into actionable insights that help drive business growth.

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

AspectBusiness Intelligence Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines and infrastructure for BI systemsAnalyzing data to generate reports and insights
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, BI platforms, cloud environmentsBusiness units, reporting tools, dashboards
Industry UsageOrganizations with large data infrastructure needsOrganizations focusing on data-driven decision making

While both roles work with data, Business Intelligence Data Engineers focus on creating and managing the data infrastructure that enables BI reporting, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

More about Business Intelligence Data Engineer jobs
What cities are hiring for Business Intelligence Data Engineer jobs? Cities with the most Business Intelligence Data Engineer job openings:
What states have the most Business Intelligence Data Engineer jobs? States with the most job openings for Business Intelligence Data Engineer jobs include:
What job categories do people searching Business Intelligence Data Engineer jobs look for? The top searched job categories for Business Intelligence Data Engineer jobs are:
Business Intelligence Data Engineer jobs near you
Infographic showing various Business Intelligence Data Engineer job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 66% Full Time, 3% Part Time, 3% Temporary, and 26% Contract. Highlights an 78% Physical, 12% Hybrid, and 10% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.

Sr. Business Intelligence Data Architect (Power BI & Azure - Federal Agency)

Aalis Management Consulting

Washington, DC • On-site

Full-time

Posted 16 days ago

Job description

is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a U.S. Army veteran, we take pride in our core values of excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, IT Financial Management, Program Management, and Logistics & Supply Chain Support.
Title: Sr. Business Intelligence Data Architect (Power BI & Azure)
Client: Federal Agency
Location: Remote
Clearance: Public Trust
Security Clearance Statement: This position requires a government security clearance; the applicant must be a U.S. Citizen for consideration.
Number of Positions: 1
Work Schedule: 8:00 AM - 5:00 PM
Work Day: Monday - Friday
Position Summary
Aalis Management Consulting seeks a highly qualified Sr. Business Intelligence Data Architect (Power BI & Azure) to support a Federal Agency by designing, developing, and maintaining enterprise business intelligence and data architecture solutions. This position will play a critical role in transforming complex data into actionable insights through scalable data pipelines, cloud-based data warehouses, and executive dashboards.
The successful candidate will collaborate with program managers, technical teams, and government stakeholders to architect data solutions that support reporting, analytics, and strategic decision-making. The ideal candidate will possess deep expertise in Microsoft Power BI, Microsoft Azure, SQL, and Python, along with strong communication and systems architecture skills.
Key Responsibilities
  • Design and implement scalable data pipelines, ETL/ELT workflows, and enterprise data warehouses.
  • Develop interactive dashboards, scorecards, and reports using Power BI.
  • Architect cloud-based analytics solutions using Azure services, including Azure SQL, Data Factory, and Synapse Analytics.
  • Integrate and transform data from multiple internal and external sources.
  • Optimize data models and query performance for analytics and reporting.
  • Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
  • Prepare executive briefings and data visualizations to support decision-making.
  • Establish data governance, quality assurance, and documentation standards.
  • Troubleshoot and resolve data and reporting issues.
  • Identify opportunities to improve reporting processes and analytical capabilities.
Required Qualifications
  • Bachelor's degree in Informatics, Information Systems, Computer Science, Data Science, or a related field.
  • Minimum of 8 years of experience in business intelligence, data architecture, or analytics development.
  • Advanced experience with Power BI, Azure, SQL, and Python.
  • Experience designing enterprise data warehouses and cloud-based analytics platforms.
  • Strong knowledge of ETL/ELT development, dimensional modeling, and database design.
  • Excellent analytical, problem-solving, and communication skills.
  • Proficiency in the Microsoft Office, including Excel, PowerPoint, Word, Outlook, and Teams.
Preferred Qualifications
  • Microsoft Certified: Power BI Data Analyst Associate.
  • Microsoft Azure Data Engineer or Azure Solutions Architect certification.
  • Experience supporting federal agencies and Public Trust environments.
  • Familiarity with healthcare, engineering, or capital improvement data.

Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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