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Data Bi Engineer Jobs in Greer, SC (NOW HIRING)

... engineering using Databricks and Synapse runtimes. Data Modeling, Curation & Governance Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics ...

ETL Lead

Greenville, SC ยท On-site

... engineering using Databricks and Synapse runtimes. Data Modeling, Curation & Governance Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced analytics ...

New

Oracle Database programming * Oracle PL-SQL Scripting * SAP BODS (SAP BusinessObjects Data Services ... Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced ...

Oracle Database programming * Oracle PL-SQL Scripting * SAP BODS (SAP BusinessObjects Data Services ... Develop curated, analytics-ready datasets to support Power BI, operational reporting, and advanced ...

Familiarity with Smartsheet and Power BI. * Experience supporting engineering, manufacturing, or industrial projects. * Knowledge of data center infrastructure, commissioning activities, or ...

Continuous Improvement Leader

Greer, SC ยท On-site

$95 - $130/hr

Proficiency with Microsoft Office, Power BI, and data analysis tools. EDUCATION & EXPERIENCE Required * Bachelor's degree in Engineering, Business, Operations Management, Industrial Engineering, or ...

New

Showing results 41-60

Data Bi Engineer information

See Greer, SC salary details

$42.8K

$124.7K

$170.7K

How much do data bi engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data bi engineer in Greer, SC is $124,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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 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.

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 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.
What are popular job titles related to Data Bi Engineer jobs in Greer, SC? For Data Bi Engineer jobs in Greer, SC, the most frequently searched job titles are:
What job categories do people searching Data Bi Engineer jobs in Greer, SC look for? The top searched job categories for Data Bi Engineer jobs in Greer, SC are:
Infographic showing various Data Bi Engineer job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,722 per year, or $60 per hour.

Database Administrator - Azure SQL & Microsoft Dataverse

McMillan Pazdan Smith Architecture

Greenville, SC โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

McMillan Pazdan Smith is seeking a highly skilled and experienced Database Administrator to manage and optimize our critical data infrastructure, with a strong focus on Azure SQL Database and Microsoft Dataverse. The ideal candidate will possess deep expertise in leveraging APIs and modern integration technologies to connect disparate data sources, coupled with a proven ability to utilize Power BI and other analytical tools for data-driven insights. This role requires a proactive individual with a strong understanding of database optimization, scripting, and automation techniques to ensure the performance, security, and reliability of our data assets. Experience working in the Architecture, Engineering, or Construction industry is a significant plus. Responsibilities:
  • Database Management & Administration:
    • Administer and maintain Azure SQL Databases, ensuring high availability, performance, security, and integrity.
    • Manage and maintain Microsoft Dataverse environments, including entity creation, relationship management, security configuration, and solution deployment.
    • Perform database backups, restores, and recovery procedures.
    • Implement and maintain database security measures, including user access control, encryption, and auditing.
    • Monitor database performance, identify bottlenecks, and implement optimization strategies.
    • Troubleshoot and resolve database-related issues in a timely and efficient manner.
  • Data Integration & Connectivity:
    • Design, develop, and implement data integration solutions using APIs (e.g., REST, SOAP), Azure Data Factory, Logic Apps, or other relevant technologies to connect various data sources.
    • Develop and maintain data pipelines to ensure seamless data flow between Azure SQL, Microsoft Dataverse, and other systems.
    • Collaborate with application development teams to design and implement efficient data access patterns.
  • Analytics & Reporting Support:
    • Support the development and maintenance of Power BI dashboards and reports, ensuring data accuracy and performance.
    • Collaborate with business users and analysts to understand reporting requirements and provide data solutions.
    • Familiarity with other analytical tools and techniques for data exploration and visualization.
  • Database Optimization & Performance Tuning:
    • Analyze query performance and implement indexing strategies, query optimization techniques, and database configuration changes to improve efficiency.
    • Conduct performance testing and identify areas for improvement.
    • Implement and maintain database partitioning and archiving strategies as needed.
  • Scripting & Automation:
    • Develop and maintain scripts (e.g., T-SQL, PowerShell, Python) to automate routine database tasks, deployments, and monitoring processes.
    • Implement infrastructure-as-code (IaC) principles for database provisioning and management.
  • Architecture & Design:
    • Participate in the design and implementation of database solutions that meet business requirements and align with best practices.
    • Contribute to the development of data models and database schemas.
    • Stay current with emerging database technologies and trends, particularly within the Microsoft Azure ecosystem.
  • Documentation & Standards:
    • Create and maintain comprehensive documentation for database configurations, processes, and procedures.
    • Adhere to established data governance policies and standards.
  • Collaboration & Communication:
    • Collaborate effectively with cross-functional teams, including developers, analysts, and business stakeholders.
    • Communicate technical information clearly and concisely to both technical and non-technical audiences.

Requirements
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 5 years of experience as a Database Administrator.
  • Extensive experience managing and administering Azure SQL Databases, including performance tuning, security, and high availability configurations.
  • Strong experience with Microsoft Dataverse, including entity modeling, security roles, business rules, and solution management.
  • Proven experience in utilizing APIs (REST, SOAP) and other modern data integration technologies (e.g., Azure Data Factory, Logic Apps) to connect and integrate data from various sources.
  • Solid understanding and practical experience with Power BI or other data visualization and analytical tools.
  • Proficiency in database optimization techniques, including indexing, query tuning, and performance monitoring.
  • Strong scripting skills in T-SQL, PowerShell, and/or Python for automation and database management tasks.
  • Experience with database design principles and data modeling.
  • Excellent problem-solving, analytical, and troubleshooting skills.
  • 4+ years of experience as a Technical Business Analyst, Data Analyst, or similar analytics-focused role
  • Advanced experience with Power BI, including data modeling, DAX, and performance optimization
  • Strong experience working with SQL, Dataverse, and Azure-based data platforms
  • Proven experience integrating and analyzing data from multiple SaaS platforms and APIs
  • Strong analytical and problem-solving skills with the ability to interpret complex, multi-source datasets
  • Ability to translate AEC business needs into technical solutions and actionable insights
  • Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders

Preferred AEC Experience & Skills
  • Prior experience working in an architecture, engineering, or construction (AEC) firm
  • Knowledge of Deltek Vision and/or Deltek Vantagepoint, including project, financial, and labor data
  • Experience integrating or working with Autodesk Platform Services (APS / Forge) or Autodesk-related datasets
  • Familiarity with architectural, engineering, or project delivery data, such as fees, budgets, schedules, utilization, and project performance
  • Experience with building, space, or facilities data analysis

Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to grasp objects; reach with hands and arms; balance, stop, kneel, or crouch; speak or listen. The employee must occasionally lift and/or carry up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Workplace Environment Work Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. While performing the duties of this job, the employee may occasionally be exposed to hazardous working conditions in conjunction with construction site visits. The noise level in the construction zone may be loud. While performing the duties of this job in the office work environment, the employee will not be exposed to hazardous working conditions. The noise level in the office work environment is usually moderate.
McMillan Pazdan Smith Architecture provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation or gender identity), national origin, age (40 or older), disability or genetics. In addition to federal law requirements, McMillan Pazdan Smith Architecture complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment. Applicants also have rights under the following Federal Employment Laws: Family and Medical Leave Act (FMLA), Equal Employment Opportunity (EEO), Employee Polygraph Protection Act (EPPA).