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Business Intelligence Data Engineer Jobs in Georgia

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

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

Business Intelligence & Data Analysis, AWS, BI

Atlanta, GA · Hybrid

$49 - $63.75/hr

They work across data engineering, reporting, and business intelligence to deliver trusted data, scalable pipelines, and useful dashboards for stakeholders across the organization. What you will be ...

New

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 ...

Data Engineer II - AMZ27052.1

Atlanta, GA · On-site

$132K - $178K/yr

Data Engineer II Location: Atlanta, GA Multiple Positions Available: Design, develop, implement ... Provide on-line reporting and analysis using OBIEE business intelligence tools and a logical ...

Data Engineer

Gainesville, GA · On-site

$106K - $128K/yr

Data Engineer Client: Mansfield Position: Fulltime or C2C Job Summary We are seeking an experienced ... business intelligence and analytics. * Collaborate with business stakeholders, analysts, and ...

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 ...

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Showing results 1-20

Business Intelligence Data Engineer information

See Georgia salary details

$24

$48

$67

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

As of Jul 31, 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.

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.

What job categories do people searching Business Intelligence Data Engineer jobs in Georgia look for? The top searched job categories for Business Intelligence Data Engineer jobs in Georgia are:
Infographic showing various Business Intelligence Data Engineer job openings in Georgia as of July 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. 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 Engineer

Paciolan

Atlanta, GA

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Essential Duties & Responsibilities:

  • Build and scale business intelligence as a service, delivering insights that create measurable value for clients
  • Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
  • Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources
  • Lead client onboarding and act as a long-term analytics partner to participating organizations
  • Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis
  • Create data models and structures that power trusted, scalable analytics
  • Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
  • Proactively propose new analyses and help shape how insights are shared across clients and internal teams

Minimum Qualifications:

  • 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
  • Demonstrated experience in the ticketing/live events/sports space
  • Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
  • Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
  • A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories
  • A passion for building analytics that are not only accurate, but genuinely useful and actionable
  • Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

Preferred Qualifications:

  • Experience with Python or R for predictive, statistical, or categorical modeling
  • Familiarity with live entertainment, college athletics, or fundraising data
  • End-to-end data engineering experience (source warehouse visualization/export)
  • Experience with ETL tools and modern data stack patterns
  • Deep familiarity with Snowflake or similar cloud data platforms
  • Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

Pay Transparency:

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.