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Data Bi Engineer Jobs in Villa Rica, 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 ...

Kanshe Infotech

Power BI Developer

Atlanta, GA · On-site

$45 - $50/hr

Title: Power BI Developer Location: Atlanta, GA - Onsite Job Summary: We are seeking a Power BI ... The ideal candidate will work closely with business stakeholders to deliver data-driven insights ...

Kanak Elite Services Inc

BI Developer

Atlanta, GA · On-site

BI Developer Atlanta, GA (preferred) / Charlotte, NC (2nd preference) - Onsite Location : Atlanta ... We are seeking a highly skilled Onshore Sigma dashboard developer to join our global data ...

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 ...

Apex Informatics

Power BI Developer

Atlanta, GA · On-site

Title: Power BI Developer Location: Atlanta, GA Key Responsibilities Semantic Modeling & Data ... Collaborate with data engineering teams to define data requirements, improve data quality, and ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... In this role, you will lead teams designing and building Data & BI solutions that capture, explore ...

4pconsultinginc

Power BI Developer 2

Atlanta, GA · On-site

... Power BI Developer to join our team. The ideal candidate will have hands-on experience building ... Build and optimize data models and write DAX/M queries to meet reporting needs. * Ensure optimal ...

Mashburn, LLC

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

The Data Engineer will partner closely with BI developers and business stakeholders to deliver trusted, analytics-ready datasets that support reporting and decision-making across the organization.

Mashburn, LLC

Data Engineer

Atlanta, GA · On-site

$108K - $130K/yr

The Data Engineer will partner closely with BI developers and business stakeholders to deliver trusted, analytics-ready datasets that support reporting and decision-making across the organization.

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Showing results 1-20

All JobsData Bi Engineer JobsData Bi Engineer Jobs in Villa Rica, GA

Data Bi Engineer information

See Villa Rica, GA salary details

$38.8K

$113.2K

$154.9K

How much do data bi engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data bi engineer in Villa Rica, GA is $113,225.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

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

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What are popular job titles related to Data Bi Engineer jobs in Villa Rica, GA?

For Data Bi Engineer jobs in Villa Rica, GA, the most frequently searched job titles are:

What cities near Villa Rica, GA are hiring for Data Bi Engineer jobs?

Cities near Villa Rica, GA with the most Data Bi Engineer job openings:

Data Bi Engineer jobs near you
Infographic showing various Data Bi Engineer job openings in Villa Rica, GA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,225 per year, or $54.4 per hour.

DATA ANALYST/BI ENGINEER

Salesforce

Atlanta, GA • On-site

Other

Posted 13 days ago

Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 245 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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