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Bi Engineer Jobs in Atlanta, GA (NOW HIRING)

Lead BI Engineer (Contract-to-Hire)

Alpharetta, GA ยท On-site

$100K - $131K/yr

Our client is seeking an experienced Lead Business Intelligence (BI) Engineer to join their Data & Analytics team in a full-time capacity. This role combines two key responsibilities: Primary: Own ...

BI Developer Atlanta, GA (preferred) / Charlotte, NC (2nd preference) - Onsite Location : Atlanta, GA (preferred) / Charlotte, NC (2nd preference) - Onsite Duration : Long term contract Must have ...

Power BI Developer

Atlanta, GA ยท On-site +1

$60/hr

Power BI Developer - VMS/MSP Reporting & Dashboards Area of Focus: Technical - Business Intelligence & Data Visualization Location: Remote (US) Engagement Type: Contract, $60/hour Reports to team ...

The BI Developer supports the reporting and analytical needs of the business by defining, developing and configuring applications for internal and external usage. The ideal candidate will have a ...

The BI Developer supports the reporting and analytical needs of the business by defining, developing and configuring applications for internal and external usage. The ideal candidate will have a ...

Job Summary : eCom Solutions Inc is seeking a BI Developer to enhance their Business Intelligence capabilities. The role involves working with SIGMA reporting, AWS, and Snowflake to support data ...

This role requires close collaboration with business leaders, data engineering teams, and executive stakeholders in an onsite Atlanta model . Key Responsibilities * Design scalable BI and reporting ...

Power BI Developer Location: Atlanta, GA Key Responsibilities Semantic Modeling & Data Architecture * Design, develop, and optimize Power BI semantic models using best-practice dimensional modeling ...

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Showing results 1-20

Bi Engineer information

See Atlanta, GA salary details

$37.5K

$97.9K

$132.2K

How much do bi engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for bi engineer in Atlanta, GA is $97,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $112,000.00 per year, depending on experience, location, and employer.

What is a BI engineer?

BI Engineers, or Business Intelligence Engineers, are professionals who design, develop, and maintain data solutions to help organizations make informed business decisions. They build and manage databases, data pipelines, and reporting systems that transform raw data into actionable insights. BI Engineers often work with tools such as SQL, ETL (Extract, Transform, Load) frameworks, and visualization platforms like Tableau or Power BI. Their work enables companies to analyze trends, identify opportunities, and improve overall performance.

What skills and qualifications are needed to thrive as a BI engineer?

To thrive as a BI Engineer, you need strong analytical skills, proficiency in data modeling, and a solid background in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as expertise in SQL, ETL processes, and data warehousing technologies, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you convey complex insights to stakeholders. These skills are crucial for transforming raw data into actionable business intelligence that drives informed decision-making.

How does a BI engineer typically collaborate with data analysts and business stakeholders to deliver actionable insights?

A BI Engineer often works closely with data analysts to design data models, build efficient ETL pipelines, and ensure the accuracy and accessibility of data within business intelligence tools. They partner with business stakeholders to gather requirements, translate business needs into technical solutions, and present data in a way that supports decision-making. Effective communication and a collaborative mindset are crucial, as BI Engineers frequently participate in meetings to align on project goals, clarify data definitions, and iterate on dashboards or reports based on feedback.

What is the difference between Bi Engineer vs Data Analyst?

AspectBi EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering, or related field; often certifications in data toolsBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentData warehouses, ETL pipelines, cloud platformsData visualization tools, spreadsheets, reporting platforms
Employer & Industry UsageTech companies, finance, healthcare, retailBusiness, marketing, finance, healthcare
Common Search & Comparison IntentUnderstanding technical data infrastructure rolesInterpreting data for business insights

Bi Engineers focus on building and maintaining data pipelines, warehouses, and infrastructure, requiring technical skills in data engineering. Data Analysts interpret data to generate reports and insights, emphasizing analytical skills. While both roles work with data, Bi Engineers handle the technical backbone, whereas Data Analysts focus on data interpretation for decision-making.

Is bi engineering a good career?

Bioengineering is a growing field that combines biology, engineering, and technology to develop medical devices, diagnostics, and healthcare solutions. It offers diverse job opportunities in research, healthcare, and industry, often requiring knowledge of biology, engineering principles, and relevant certifications. The career can be rewarding for those interested in innovation and improving health outcomes.

What job categories do people searching Bi Engineer jobs in Atlanta, GA look for?

The top searched job categories for Bi Engineer jobs in Atlanta, GA are:

Infographic showing various Bi Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $97,851 per year, or $47 per hour.

Data Analyst & Power Bi Engineer

The AES Group

Atlanta, GA โ€ข Remote

Contractor

Re-posted 3 days ago


Job description

Title: Data Analyst & Power Bi Engineer
Location: Remote

Let’s create our future together at The AES Group!

About The AES Group:
The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies.

Overview: - Looking for a talented Data Analyst/PowerBI Engineer who will play a crucial role in analyzing data and generating actionable insights for our clients. In this position, you will leverage your expertise in Power BI and data analysis techniques to transform complex data into clear and compelling visualizations and reports. You'll work closely with stakeholders to understand their analytics needs and provide solutions that support informed decision-making.

Roles and Responsibilities:

  • Design, develop, and maintain interactive dashboards and reports using Power BI and Fabric workspaces
  • Conduct data analysis to identify trends, patterns, and insights that inform business strategies
  • Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions
  • Ensure data accuracy and integrity by implementing quality control processes
  • Assist in presenting findings and recommendations to stakeholders through effective storytelling
  • Stay current with industry trends and best practices in data analytics and Power BI

Requirements:
To be successful in this role, you should have:

  • Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics)
  • Proven experience in data analysis and visualization, with a strong focus on Power BI
  • Strong knowledge of SQL for data querying and manipulation
  • Experience with data modelling and ETL processes
  • Excellent analytical and problem-solving skills
  • Ability to communicate complex data insights clearly to both technical and non-technical audiences
  • Proficiency in Microsoft Excel and other data analysis tools

A proactive mindset with a focus on continuous improvement and learning