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Bi Engineer Jobs in Atlanta, GA (NOW HIRING)

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta, GA - Hybrid (3 days/week on-site) Required Skills: Strong SQL, Databricks ( or Snowflake ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta, GA - Hybrid (3 days/week on-site) Required Skills: Strong SQL, Databricks ( or Snowflake ...

SOLTECH

Lead BI Engineer (Contract-to-Hire)

Alpharetta, GA

$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 ...

Kanak Elite Services Inc

BI Developer

Atlanta, GA · On-site

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 ...

Kanshe Infotech

Power BI Developer

Atlanta, GA

$45 - $50/hr

Power BI Developer Location: Atlanta, GA - Onsite Job Summary: We are seeking a Power BI Developer with strong expertise in building interactive dashboards and reports. The ideal candidate will work ...

Hotwire Communications

BI Developer

Atlanta, GA

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 ...

Hotwire Communications

BI Developer

Atlanta, GA

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 ...

Apex Informatics

Power BI Developer

Atlanta, GA · On-site

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 ...

Acess Global

BI ARCHITECT

Atlanta, GA · On-site

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 ...

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Showing results 1-20

All JobsBi Engineer JobsBi Engineer Jobs in Atlanta, GA

Bi Engineer information

See Atlanta, GA salary details

$37.5K

$97.8K

$132.2K

How much do bi engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for bi engineer in Atlanta, GA is $97,850.00, 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.

What are popular job titles related to Bi Engineer jobs in Atlanta, GA?

For Bi Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

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:

Bi Engineer jobs near you
Infographic showing various Bi Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $97,850 per year, or $47 per hour.

DATA ANALYST/BI ENGINEER

Salesforce

Atlanta, GA • On-site

Full-time

Posted 12 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 244 rated software companies

Job description

DATA ANALYST/BI ENGINEER
Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate: Atlanta,
GA - Hybrid (3 days/week on-site)
Required Skills: Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development)
Preferred : Snowflake, Python, Terraforma
We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.
While strong SQL skills remain essential, success in this role requires a broader capability across Databricks, data engineering, end-to-end analytics, and Power BI development. This role is not limited to querying data-it requires building and optimizing the data foundation, shaping business-ready datasets, and delivering clear, executive-ready reporting and visualization solutions.
The ideal candidate is equally comfortable working across raw data, transformation logic, analytical modeling, and front-end reporting. They enjoy solving difficult problems, thrive in ambiguity, and continuously ask questions to understand not only what happened, but also why it happened, where the data came from, how it should be modeled, and how insights should be delivered to the business in a trusted and scalable way.
This individual should be able to work across the full analytics lifecycle: sourcing and engineering data, understanding lineage and dependencies, designing curated datasets, applying business logic, validating outputs, and delivering insights through dashboards, reports, and executive readouts. They are naturally driven to investigate, learn the business, understand source systems, and uncover relationships across domains that others may overlook.
This role supports strategic business initiatives across Fiber, Connected Communities, Mobility, customer, revenue, operational, and financial domains. The individual is expected to partner closely with business stakeholders, develop a deep understanding of the business, and create scalable, trusted, and well-engineered data and reporting solutions that support executive decision-making.
Key Responsibilities
  • Analyze and integrate data across multiple applications, source systems, and business domains.
  • Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
  • Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
  • Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
  • Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
  • Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
  • Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
  • Transform fragmented and complex data into clear, business-relevant stories and recommendations.
  • Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
  • Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
  • Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
  • Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
  • Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
  • Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

What Makes Someone Successful in This Role
The strongest individuals in this role are not simply SQL developers, report builders, or dashboard creators. They are end-to-end problem solvers who can connect business needs, data engineering, analytics, and reporting into scalable solutions.
They:
  • Possess strong analytical curiosity and a desire to deeply understand how the business works.
  • Have hands-on experience with Databricks, modern data transformation, and analytical data engineering.
  • Have strong Power BI skills and know how to turn complex analysis into intuitive, executive-friendly dashboards and reporting.
  • Can connect disparate pieces of information into a complete, accurate, and actionable story.
  • Are comfortable working through ambiguity and incomplete requirements.
  • Ask thoughtful questions and challenge assumptions.
  • Take ownership of finding the right answer, not just the quickest answer.
  • Understand that trusted analytics begin with well-engineered, validated, and well-modeled data.
  • Can move seamlessly from raw data to business-ready insight and visualization.
  • Continuously build expertise in business processes, data lineage, system dependencies, and analytical modeling.
  • Translate complex technical findings into clear business recommendations and executive-ready outputs.
  • Demonstrate persistence, intellectual curiosity, and a passion for learning.
  • Balance speed with rigor, ensuring that solutions are both actionable and sustainable.

Qualifications
Required
  • Strong SQL development and data analysis experience.
  • Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
  • Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
  • Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
  • Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
  • Experience working with large and complex datasets across multiple systems.
  • Strong problem-solving and analytical skills.
  • Ability to investigate and reconcile data across multiple platforms and source systems.
  • Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
  • Excellent communication and stakeholder management skills.
  • Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred
  • Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
  • Experience with modern cloud-based analytics platforms and data engineering frameworks.
  • Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
  • Experience working with cross-functional teams in a fast-paced environment.
  • Familiarity with KPI governance, executive reporting, and semantic layer design.

Our Philosophy
Databricks, data engineering capability, Power BI expertise, analytical curiosity, and business understanding determine your success.
The best people in this role become trusted advisors because they understand the business, understand the data, and know how to engineer scalable solutions and deliver trusted insights through effective reporting. They do not simply build reports-they build reliable data foundations, create meaningful visualizations, uncover insights, solve complex problems, and help the organization make better decisions through end-to-end analytics

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