1

Data Engineer Jobs in Greer, SC (NOW HIRING)

Cloud Data Engineer

Greenville, SC ยท On-site

$100K - $121K/yr

Data Engineer Company Overview The Intersect Group is partnering with a forward thinking organization that leverages data, analytics, and emerging technologies to drive strategic business decisions.

Data Engineer - Senior Manager

Spartanburg, SC ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer III

Mauldin, SC ยท On-site

$125.04 - $187.56/hr

Bachelor's degree or equivalent years of work experience. * 5+ years in data engineering or closely related roles. * Experience with Kafka and Databricks, or comparable. * Handsโ€‘on experience with ...

Clinical Data Scientist

Spartanburg, SC ยท On-site

$140 - $145/hr

Experience programming with SQL scripting. * Experience with data analytics visualization tools such as PowerBI and Tableau. * Ability to transform complex data across multiple platforms into concise ...

Data Strategy-Manager

Spartanburg, SC ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

Spartanburg, SC ยท On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data & Analytics Developer

Greenville, SC ยท On-site

$65 - $73/hr

... engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights. RESPONSIBILITIES Data Analysis & Intelligence * Analyze data from multiple enterprise ...

Data Analyst

Duncan, SC ยท On-site

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Data Analyst

Duncan, SC ยท On-site

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Data Developer

Greenville, SC ยท On-site

$65 - $90/hr

As a Data Developer, you will be responsible for building fast, reliable, transparent, and scalable business-focused information systems. You will design and build standardized ETL processes used to ...

next page

Showing results 1-20

Data Engineer information

See Greer, SC salary details

$42.8K

$124.7K

$170.7K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data 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 engineer?

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 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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Greer, SC?

The most popular types of Data Engineer jobs in Greer, SC are:

What cities near Greer, SC are hiring for Data Engineer jobs?

Cities near Greer, SC with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $124,722 per year, or $60 per hour.

Cloud Data Engineer

The Intersect Group

Greenville, SC โ€ข On-site

$100K - $121K/yr

Other

Re-posted yesterday


Job description

Data Engineer

Company Overview

The Intersect Group is partnering with a forward thinking organization that leverages data, analytics, and emerging technologies to drive strategic business decisions. This company is committed to innovation, continuous improvement, and building scalable solutions that empower teams across the enterprise. With a strong investment in cloud technologies, artificial intelligence, and data driven insights, they offer an environment where technical professionals can make a meaningful impact while continuing to grow their expertise.

Role Summary

We are seeking a Cloud Data Engineer to play a critical role in designing, building, and optimizing enterprise data solutions. This position is ideal for a highly skilled data professional who enjoys solving complex challenges, working with modern cloud technologies, and delivering scalable systems that support business intelligence, analytics, and AI initiatives.

As a key member of the Data Engineering team, you will own the full software development lifecycle, from design and development through testing, deployment, and ongoing optimization. You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions that enable data driven decision making throughout the organization.

Key Requirements

โ€ข 5+ years of hands on experience as a Data Engineer, Cloud Data Engineer, or similar data focused development role

โ€ข Strong experience with Microsoft SQL Server and C# development is required and considered non negotiable for this position

โ€ข Proven experience designing, developing, and maintaining backend data solutions, data processing frameworks, and enterprise data pipelines

โ€ข Hands on experience with Databricks, data enrichment processes, and large scale data integration initiatives

โ€ข Strong foundation in Microsoft Azure, including Azure data services, Azure security, and modern cloud architecture concepts

โ€ข Experience developing scalable data warehouse solutions and advanced SQL based data models

โ€ข Demonstrated ability to build, optimize, and support end to end ETL and ELT processes in production environments

โ€ข Solid understanding of software development lifecycle practices, source control, testing, deployment, and production support

โ€ข Experience supporting cloud based analytics, reporting, artificial intelligence, or machine learning initiatives is highly desirable

โ€ข Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field

โ€ข Must be authorized to work in the United States as a , or validholder

โ€ข Sponsorship is not available now or in the future for this position

โ€ข Strong analytical and problem solving abilities with a demonstrated track record of delivering reliable, production ready solutions

โ€ข Genuine interest in learning emerging technologies and continuously expanding technical expertise

โ€ข Excellent communication, collaboration, and interpersonal skills with the ability to work effectively across technical and business teams

โ€ข High degree of integrity and professionalism with experience that accurately reflects hands on technical capabilities

โ€ข Ability to thrive in a collaborative, culture driven environment and contribute positively to team success

Preferred Qualifications

โ€ข Experience with Azure Foundry and modern AI enabled data platforms

โ€ข Experience working with Azure analytics, storage, database, and machine learning services

โ€ข Familiarity with distributed computing architectures and large scale cloud data platforms

โ€ข Experience with statistical programming languages such as R

โ€ข Experience mentoring team members and contributing to technical best practices

Why Join This Opportunity

โ€ข Opportunity to influence the future of a growing enterprise data platform

โ€ข Exposure to cutting edge cloud, analytics, machine learning, and AI technologies

โ€ข Highly collaborative environment with strong executive support for data initiatives

โ€ข Ability to work on high impact projects that drive strategic business outcomes

โ€ข Career growth opportunities within a modern and innovative technology organization

Apply Today

If you are passionate about building scalable cloud data solutions, optimizing data platforms, and enabling advanced analytics through innovative engineering practices, we encourage you to apply. Submit your resume and contact information to The Intersect Group today to be considered for this exciting opportunity.