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Business Intelligence Data Engineer Jobs (NOW HIRING)

The Data Sherpas

Business Intelligence Engineer

Mentor, OH · On-site

$45.50 - $59.25/hr

The Data Sherpas is a prominent organization in the Greater Cleveland area seeking a talented BI ... Master's degree is a plus • 3-5+ years of experience dedicated to Business Intelligence, data ...

Blew Sky

Business Intelligence Data Scientist

Seattle, WA · Remote

$150K - $175K/yr

As a Business Intelligence Data Scientist at Bluesky, you'll work closely with leadership to ... programming skills in Python Experience working with PyTorch is a plus Experience working with ...

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

As of May 30, 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.
Business Intelligence /Data Engineer

Business Intelligence /Data Engineer

Technamo LLC

Springfield, VA • On-site

Full-time

Posted 21 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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