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Business Intelligence Data Engineer Jobs in Georgia

Paciolan

Business Intelligence Engineer

Atlanta, GA

$100K - $120K/yr

Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data ... delivering business intelligence or analytics to stakeholders across teams or organizations

Learfield

Business Intelligence Engineer

Atlanta, GA · On-site

$100K - $120K/yr

Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data ... delivering business intelligence or analytics to stakeholders across teams or organizations

4P Consulting Inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

New

4P Consulting Inc

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

New

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Ensure data structures and models support business intelligence tools and reporting needs, enabling data-driven decision-making across the organization. Data Engineering & Automation Develop and ...

4P Consulting Inc

Data Engineer, Analytics

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

New

4P Consulting Inc

Data Engineer, Analytics

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

New

Snowrelic Inc

Business Intelligence (W2)

Atlanta, GA · On-site

$49 - $63.75/hr

No H1B We are seeking a Business Intelligence Subject Matter Expert (SME) with strong experience in Palantir and Databricks platforms to support enterprise-level data analytics initiatives. The ideal ...

4P Consulting Inc

Data Engineer 3 4P/444

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

4P Consulting Inc

Data Engineer 3 4P/444

Atlanta, GA · On-site

$110K - $132K/yr

... business intelligence, ML, and analytics workloadsEnsure data consistency, accuracy, completeness, and reusabilityEstablish data quality frameworks, validation checks, and monitoring ...

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All JobsBusiness Intelligence Data Engineer JobsBusiness Intelligence Data Engineer Jobs in Georgia

Business Intelligence Data Engineer information

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$48

$67

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

As of Aug 22, 2026, the average hourly pay for business intelligence data engineer in Georgia is $48.17, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $53.80 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a business intelligence data engineer?

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 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.

Business Intelligence Data Engineer jobs near you
Infographic showing various Business Intelligence Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 77% Full Time, 13% Part Time, 7% Contract, and 3% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $100,194 per year, or $48.2 per hour.

Business Intelligence/Data Warehouse Architect

Futurewave Systems

Atlanta, GA • Remote

Full-time

Re-posted 14 days ago

Job description

Company Description

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. 

Job Description

Business Intelligence/Data Warehouse Architect position will contribute to the company's success by performing a key role in designing, building and supporting our enterprise Business Intelligence architecture including Data Warehouse, Data Mart and Reporting Solutions which enable key business users to make solid business decisions.

Responsibilities:

  1. Define Business Intelligence Strategy based on current business and information technology realties.  Define, design, and implement Business Intelligence (BI) strategies for operational, ad-hoc, and other BI related solutions.
  2. Work directly with IT and business users to facilitate, define and document data requirements as the foundation for data base design, data extraction, analysis and cleansing.
  3. Assist in the definition, documentation and development of mapping rules for movement of data from desperate data sources and into the various components and subject areas of the BI environment.
  4. Create data models including robust data definitions, entity-relationship-attribute models, as well as relational and/or dimensional models.
  5. Work closely with DBAs to transition logical models to physical implementation of data structures.
  6. Design and implement Business Intelligence, information quality & information management governance.
  7. Provide hands-on data modeling (relational and dimensional) for Data Warehouse/Data Marts and overall BI environment.
  8. Provide best practices and guidance regarding use of ETL, data modeling (relational and dimensional), and reporting deliverables.
  9. A good understanding of the design and development of complex business reports.
  10. Ability to understand and support legacy solutions and reports while migrating to a long term strategy.
  11. Work in a small team environment with Project Managers, Database Administrators, Systems Engineers, Business Analysts, and internal business users.
  12. Design and build complex relational data structures.
  13. Work with technical and business users to understand requirements then identify, and design multiple solution options as well as determine and recommend a right-sized approach.
  14. Develop strategies for data acquisition, archive recovery, and enterprise level database implementation.
  15. Develop and build comprehensive data validation and error processes as a component within the "End to End" BI solution architecture.
Qualifications
  1. Minimum 5 years of experience of ETL development with Informatica PowerCenter
  2. Degree in Information Systems, Computer Science, or equivalent education and/or experience.
  3. Minimum 8 years of experience in delivering Business Intelligence solutions.
  4. Minimum 8 years of experience with Relational and Dimensional Modeling.
  5. Must have UNIX OS knowledge including intermediate shell scripting experience.
  6. Minimum 5 years of experience with CA Erwin. (Model Manager or CA MM preferred in addition)
  7. Minimum 4 years of experience with Oracle.
  8. Significant experience with design, development, and maintenance of enterprise level data systems such as Oracle and SQL Server.
  9. In-depth expertise with data security, storage solutions, database virtualization and replication.
  10. Expert level SQL skills.
  11. Strong understanding of reporting tools such as Business Objects suite of products (desktop client, WebIntelligence, Designer, Supervisor, Broadcast Agent, InfoView).
  12. Understanding of Business Objects Enterprise XI R3 architecture.  Experience building BO Universes a plus.
  13. Working knowledge of relational database design, logical data modeling, data warehousing, and relational database management systems preferably Oracle 9i/10G/11x
  14. Knowledge of Business Intelligence and Data Warehousing concepts and proven experience delivering both.
  15. Expert knowledge of ETL concepts, development, and experience.
  16. Proven analytical skills and problem solving ability.
  17. Excellent written and oral communication skills.
  18. Demonstrated time management and prioritization skills.
  19. Strong interpersonal skills.  Ability to influence without authority.  Good liaison skills and negotiation capabilities.
  20. Ability to adapt to a fast-paced, ever-changing environment 

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