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Data Engineer Jobs in Duncan, SC (NOW HIRING)

Data Developer

Greenville, SC · On-site

$60 - $80/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 ...

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 ...

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level. Responsibilities: * Analyze quality data from multiple enterprise ...

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate, you will focus on learning and ...

Senior Analytics Engineer

Greenville, SC

$98K - $134K/yr

We're adding a dedicated engineer to our Operations Analytics team to close a specific gap: the ... You'll build and own the analytics data layer - curated models, marts, and metrics, including ...

Showing results 21-40

Data Engineer information

See Duncan, SC salary details

$41K

$119.6K

$163.7K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Duncan, SC is $119,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $126,800.00 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 Duncan, SC?

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

What job categories do people searching Data Engineer jobs in Duncan, SC look for?

The top searched job categories for Data Engineer jobs in Duncan, SC are:

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

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

Infographic showing various Data Engineer job openings in Duncan, SC as of August 2026, with employment types broken down into 82% Full Time, 10% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $119,617 per year, or $57.5 per hour.

$60 - $80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Global Lending Services rating

7.5

Company rating: 7.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Why GLS? Purpose

Access to affordable, reliable transportation is essential to leading productive work and personal lives, caring well for oneself, one’s family, and the needs of others. Through advanced analytics and technology, we can more accurately predict credit risk and provide more people with an affordable auto financing option for their next vehicle. That’s what GLS has done for over 10 years, helping more than half a million families meet and improve their transportation needs.

People

Join a culture of over 1,000 employees who Care Deeply and Think Boldly, driving innovation in an adaptive and positive culture that celebrates successes. We empower and reward individuals and teams who make direct, positive impacts to the business and each other, who take pride in their work and are ever-raising the bar.

Growth

Recognized by Inc 5000 as one of the fastest-growing private companies in America. Join GLS to grow with us!

Benefits
  • Competitive base pay and performance bonuses, dependent on role
  • Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
  • 401K with employer match and 100% immediate vesting
  • Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
  • Paid Volunteer Time Off (VTO) Annually
  • Tuition Reimbursement
  • Parental Leave
  • Business casual work environment

***This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2027***

What does it mean to be a Data Developer at GLS?

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 populate the data warehouse and feed data to stakeholders and business partners. You will also design and develop dashboards and reports that are distributed throughout the organization and to external partners.

How will you drive value within the organization as a Data Developer?
  • Design, build, enhance, and maintain fault-tolerant batch-based and real-time ETL processes to make new and existing data sources readily available to analysts, applications, and external business partners
  • Design and build data warehouses/data lakes/data marts to provide easy access to structured and semi-structured data for analysts and data scientists
  • Design, build, enhance, and maintain Power BI and SSRS reports and dashboards working from specification documents and/or direct interaction with business users
  • Automate manual data processes and optimize user queries
  • Decipher existing reports and database processes to assist users, analysts, and data stewards in understanding reports
  • Set up internal and external secure data exchanges using industry-standard encryption techniques
  • Implement data security measures to protect PII and other sensitive information
  • Integrate processes and tools to monitor and improve data quality and system stability as prescribed by the data governance team
  • Complete work with an emphasis on efficiency, quality, and maintainability
What should you already know to be successful as a Data Developer?
  • Minimum of bachelor’s degree required
  • Professional or educational experience in ETL, Business Intelligence, or Statistical Analytics required
  • Strong understanding of SQL including basic joins, inserts, updates, deletes, conditional logic, subqueries, temp tables, and data transformation functions
  • Proficient knowledge of relational database management systems required
  • Experience reviewing datasets for data quality required
  • Experience with un- or semi-structured data (ex. XML, JSON) preferred
  • Experience with any data integration tool preferred
  • Experience with reporting platform like Power BI and SSRS preferred
  • Experience with different data security algorithms preferred
  • Intrinsically motivated with demonstrated ability to take initiative, identify needs, make recommendations for improvement, see recommendations through implementation, and evaluate improvements for effectiveness
  • Strong verbal and written communication skills
  • Team player that can adapt in a fast pace and changing environment
  • Commitment to exemplifying the organizational core values and key competencies
Employment Requirements:
  • This is an exempt level position whereby business need will dictate the exact work schedule which should be expected to vary at times. Generally, days and hours of work are flexible between the hours of Monday through Friday, 8:00am-6:00pm with a minimum expectation of 40 hours per week
  • Significant portions of daily assignments involve application of manual skills requiring motor coordination in combination with finger dexterity.
  • Remain in a stationary position up to 100% of the workday.
  • Constantly operate a computer and other standard office equipment
  • Job functions involve sedentary to light physical effort. Physical demands range from sitting, walking, standing, or pushing or pulling materials. Work may involve exerting up to 10 pounds of force to lift, carry, push, pull, or move objects.
  • Be able to perform activities such as: viewing a computer terminal, extensive reading, bending, and kneeling.
  • The position does not require travel, though travelling opportunities may arise

2023 California Applicant Privacy Notice

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Please visitwww.glsauto.comfor information about our great company and other amazing opportunities

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