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Data Engineer Jobs in Villa Rica, GA (NOW HIRING)

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Company Description STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and ...

Data Engineer

Atlanta, GA · On-site

$100K - $130K/yr

Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques. * Works closely with the data science and ...

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Smyrna, GA · Hybrid

$112K - $134.50K/yr

Data Engineer II Reports To: Financial & Reporting Applications Manager Location: Windy Hill Road Area (near I-75 / The Battery) - Hybrid (3 days onsite, subject to change) Summary Data Engineer II ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Role: Data Engineer Location: Atlanta, GA Duration: 6+Month Contract 5 years of experience with at least one statistical programming language: Python, R, SAS, Julia (Python Preferred) 5 years of ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and maintenance of Cushman & Wakefield's commercial real estate (CRE) forecasting infrastructure across the ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Enlace Health delivers the only end-to-end solution that solves the infrastructure challenges driving today's unsustainable healthcare system. Connecting payers, providers, and patients ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Data Engineer Enlace Health delivers the only end-to-end solution that solves the infrastructure challenges driving today's unsustainable healthcare system. Connecting payers, providers, and patients ...

Data Engineer

Kennesaw, GA

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

Data Engineer

Kennesaw, GA · On-site

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

Data Engineer

Kennesaw, GA · On-site

$105.80K - $127.10K/yr

Yamaha has an opportunity for a Data Engineer to join our Digital Transformation group in Kennesaw, GA (relocation not available). This position will design, build, and scale a Customer Data Platform ...

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Showing results 1-20

Data Engineer information

See Villa Rica, GA salary details

$38.8K

$113.2K

$154.9K

How much do data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for data 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 Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Data Engineer jobs in Villa Rica, GA? The most popular types of Data Engineer jobs in Villa Rica, GA are:
What are popular job titles related to Data Engineer jobs in Villa Rica, GA? For Data Engineer jobs in Villa Rica, GA, the most frequently searched job titles are:
What cities near Villa Rica, GA are hiring for Data Engineer jobs? Cities near Villa Rica, GA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Villa Rica, GA as of May 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $113,225 per year, or $54.4 per hour.
Data Engineer

$110.10K - $132.20K/yr

Full-time

Posted 27 days ago


Job description

Company Description

STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and back office data sources into a format that is easily digestible by both data scientists and statistically adept colleagues.  His/her core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other stakeholders. In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management

Job Description

         Create data ingestion pipeline and processes based on jointly defined requirements

         Profile and analyze data to identify gaps and potential data quality issues; works with business SME's to resolve these issues

         Identifies relationships between disparate data sources

         Uses Python, "R", Informatica, and other Big Data tools and technologies to code the data Engineering routines

         Designs and develops the Data Engineering routines for feature extraction, feature generation and feature engineering

         Works with the group of data scientists and business SMEs to get the requirements and present the details in data

         Designs and jointly develops the data architecture with data architect and ensures security and maintenance

         Explores suitable options, designs, and creates data pipeline (data lake / data warehouses) for specific analytical solutions 

         Identifies gaps and implements solutions for data security, quality and automation of processes

         Builds data tools and products for effort automation and easy data accessibility

         Supports maintenance, bug fixing and performance analysis along data pipeline

         Diagnoses existing architecture and data maturity and identifies gaps

         Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals

Qualifications

         8-10 years of experience in data engineering and Data Lake using any Hadoop ecosystem

         Bachelor's Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Master's or other advanced degree a plus

         Previous leadership experience

         Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc.

         Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle etc in production environments

         Experience with reporting and BI packages e.g. PowerBI, Tableau, SAP BO etc.

         Strong critical thinking and problem solving skills

         Success at working on cross-functional teams to meet a common goal

         Self-starter with a high sense of urgency

Additional Information

All your information will be kept confidential according to EEO guidelines.