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Business Intelligence Data Engineer Jobs (NOW HIRING)

Roseburg Forest Products

BI Data Engineer

Springfield, OR · On-site +1

$52.75 - $68.50/hr

Description Purpose The BI (Business Intelligence) Data Engineer will be responsible for designing, administering, implementing, and maintaining an enterprise business intelligence platform. Your ...

Friendly Group

Business Intelligence Engineer

Westlake, TX · On-site +1

$49 - $63.50/hr

The Business Intelligence Engineer is responsible for the development, maintenance, and adoption of ... data-driven decisions and will serve as the primary technical resource for our business ...

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Business Intelligence Data Engineer information

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$79

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

As of Jul 11, 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.

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 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.

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 July 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $118,660 per year, or $57 per hour.
Director of Business Intelligence & Data

Director of Business Intelligence & Data

FB Society

Dallas, TX

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Director of Business Intelligence & Data
  • Job Category: Corporate
  • Requisition Number: DIREC004282
  • Posted : April 20, 2026
  • Full-Time
Locations

Showing 1 location

Description

PAY: $140K to $160K

Competitive salary and performance-based incentives

Comprehensive medical, dental, and vision coverage

401(k) with company match

Paid time off

Professional development and career growth opportunities

Engaging, innovative, and inclusive workplace culture

Key Responsibilities

Own and evolve FB Society’s enterprise data strategy, transforming data into actionable insights that drive performance across the business.

Develop and maintain a scalable AWS-based analytics ecosystem.

Collaborate with cross-functional leaders in Operations, Finance, Marketing, and Technology to identify KPIs, analytics needs, and data-driven opportunities.

Data Architecture & Engineering Oversight

Serve as the primary architect and operator for the company’s data warehouse environment in AWS.

Manage and enhance data pipelines, transformation logic, and modeling layers using:

  • Amazon Redshift
  • Dbt (data build tool)
  • AWS Lambda
  • Python scripting
  • Additional AWS services such as S3, Glue, Step Functions, and CloudWatch

Support and guide one web developer responsible for building and maintaining BI-facing tools and dashboards.

Analytics, Reporting & Insights

Build and maintain enterprise dashboards using Power BI.

Apply advanced analytics to support forecasting, pricing, guest analytics, restaurant performance, and operational efficiency.

Conduct data science tasks such as regression, classification, clustering, or predictive modeling when beneficial to the business.

Oversee and integrate the Oracle Hyperion accounting data subset that sits atop the data warehouse.

Preferred Skills & ExperienceDeep hands-on experience with the AWS analytics stack, including:
  • Amazon Redshift
  • Dbt
  • AWS Lambda
  • Python scripting
  • S3, Glue, IAM, Step Functions, CloudWatch, or other relevant services

Strong understanding of data warehousing, modeling methodologies, and ETL/ELT best practices.

BI, Analytics & Tools

Proficiency with Power BI including dataset modeling, DAX, and dashboard development.

Experience integrating Oracle Hyperion data into BI environments.

Past success managing enterprise-scale implementations of POS, CRM, inventory, or related restaurant systems.

Exposure to NLP, sentiment analysis, or applied machine learning is a plus.

Business & Leadership Skills

Strong understanding of restaurant operations, guest analytics, and multi‑unit business structures.

Demonstrated ability to operate independently in a lean environment.

Experience mentoring or directing the work of a small technical team.

Join the Crew

If you are a hands‑on, AWS‑focused data leader passionate about building analytics ecosystems from the ground up and transforming insights into business advantage, we invite you to join FB Society as our Director of Business Intelligence & Data. You will play a pivotal role in shaping the future of restaurant analytics and guest experience innovation.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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