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Data Engineer Jobs in Simpsonville, SC (NOW HIRING)

Socket.dev

Senior Director, Data Development

Greenville, SC · On-site

$180 - $230/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead a team of developers to deliver high quality and reliable data using continuous improvement principles throughout the delivery and operational support models. * Develop and maintain ...

New

Instrata

Data Center Field Engineer

Spartanburg, SC · On-site

... Data Center Field Engineer / Project Engineer to support hyperscale data center construction projects through detailed coordination, documentation control, and field execution support. In this role ...

Pwc

NGA AI Engineer Manager

Spartanburg, SC

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Fluor

Data Center Senior Electrical Design Engineer

Greenville, SC · On-site

$101K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Centers, Lithium Processing and many more. Apply Cost Competitive Execution techniques to develop the most cost-effective total project solution for execution of the discipline engineering work ...

GSP International Airport

Data Strategist

Greer, SC · On-site

$81K - $101K/yr

Experience Requirements • Five (5) years of progressively responsible experience in data architecture, data engineering, enterprise analytics, data governance, or enterprise data strategy. • ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Simpsonville, SC

Data Engineer information

See Simpsonville, SC salary details

$39.4K

$115K

$157.3K

How much do data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer in Simpsonville, SC is $114,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $121,900.00 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.
More about Data Engineer jobs

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Simpsonville, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,965 per year, or $55.3 per hour.

Senior Director, Data Development

Global Lending Services

Greenville, SC

Full-time

Posted 4 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: GLS offers the below great benefits for your amazing work!
o   Competitive base pay and performance bonuses, dependent on role
o   Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term disability
o   401K with employer match and 100% immediate vesting
o   Paid Time Off (PTO) and paid company holidays to help you balance work and personal life
o   Paid Volunteer Time Off (VTO) Annually
o   Tuition Reimbursement
o   Parental Leave
o   Business casual work environment

What does it mean to be a Senior Director, Data Development at GLS?

The Senior Director, Data Development is responsible for leading data integration and business intelligence developers to build business-focused information systems that are stable, scalable, and fast. This role will be responsible for architecture, technology solutions, and services to build and maintain robust enterprise reporting functions and data sharing processes. This role will establish best practices, drive efficiencies, and find innovative ways to operationalize insights across the organization. 

How will you drive value within the organization as a Senior Director, Data Development?
  • Provide the vision, strategy, and operational framework to deliver reporting solutions that meet the business requirements of the organization.
  • Lead a team of developers to deliver high quality and reliable data using continuous improvement principles throughout the delivery and operational support models.
  • Develop and maintain comprehensive data sharing program and work with key business stakeholders to provide frequent insight to help them make data-backed decisions.
  • Develop data standards working in collaboration with the data architecture team in terms of naming convention, storage, design, and deployments for the DWH.
  • Monitor usage and adoption of data applications/reports and own retirement strategy for unused objects.
  • Manage large, complex projects including program oversight and execution (Governance, Project Plans, Testing, Design, Requirements, Stakeholder/Communication Plans, Issue/Risk identification & resolution, project resourcing, project budget, etc.).
  • Assist in implementing, improving, and documenting data governance practices.
  • Contribute to IT Architecture Review Board meetings, protecting the interests of Data Warehouse and Business Intelligence users.
  • Spend 30-40% of the week developing, testing, and implementing reporting processes.
  • Ensure all data sharing interfaces and reporting processes align to GLS’s Enterprise Architecture and Security standards.
  • Assist in identifying, driving, and enforcing best practices for change control, testing, information security, and data governance, making use of DevOps principals and the latest in cloud technology.
  • Coach and mentor team members to maintain current technology skills and assist with career development objectives; may exercise management authority concerning staffing, performance feedback, talent development, promotions, salary recommendations, and terminations
  • Delegation, organization, and priority management i.e., Scrum Master for the team.
  • Establish clear expectations with the business and effectively communicates when situations change.
  • Perform additional assignments and special projects as required by the needs of the company or as directed by management.
What should you already know to be successful as a Senior Director, Data Development?
  • Minimum of a bachelor’s degree in Computer Science, Information Systems, or other related field required
  • Minimum of 10 years’ experience with high proficiency in Business Intelligence, ETL, Data Architecture, and Business Analytics required
  • Minimum of two (2) years’ experience in building data lake solutions required
  • Minimum of two (2) years’ experience in building cloud data warehouses required
  • Experience with modern data encryption standards and secure data exchange processes preferred
  • Knowledge of Data Governance and Master Data Management preferred
  • Advanced knowledge of physical database design and data structures required
  • Advanced skill level in SQL, data modeling, data architecture, data profiling, and performance tuning required
  • Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems required
  • Knowledge of SDLC and quality control processes to be followed in various projects required
  • Excellent project management skills to include the development of project timelines, tasks, assigned resources, dependency management and risk management
  • Exemplary critical thinking and problem solving to weigh the strengths and weaknesses of alternative solutions and lead a team to decisions
  • Ability to quickly get to know products, processes, and business needs to enough level to drive projects, improvements, and product enhancements
  • Strong verbal and written communication skills
  • Ability to work quickly and with attention to detail, juggle multiple priorities and thrive in a varied, fast-paced environment
  • Excellent communication skills to effectively explain complex technical concepts to a widely varied audience including staff, management, and other internal and external stakeholders.
  • Commitment to exemplifying the organizational core values and key competencies.
  • Demonstrated ability to motivate and lead a team - provide quality training, guidance, performance coaching, and feedback to assigned staff
  • Demonstrated ability to establish and enhance processes to improve business results
  • Excellent interpersonal skills: friendly and tactful with the ability to influence others, exercise sound judgment, and effectively manage conflict
Employment Requirements:
  • 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
Schedule:
  • This position is full-time
  • 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.
  • Regular, predictable attendance is required, including overtime hours as business demands dictate
  • Evening and weekend work may be required as job duties demand
Work Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.This job operates in a professional office environment, primarily indoorsThe noise level in the work environment is usually moderately quietThe position requires travel, up to 10% Schedule:This position is full-timeThis 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 Monday through Friday between the hours of 8:00am-6:00pmRegular, predictable attendance is required, including overtime hours as business demands dictateEvening and weekend work may be required as job duties demand

2023 California Applicant Privacy Notice
GLS participates in the E-Verify program to confirm the employment eligibility of all newly hired employees
Please visit www.glsauto.com for information about our great company and other amazing opportunities

 
Applicants have rights under Federal Employment Laws
Family and Medical Leave Act (FMLA) 
Equal Employment Opportunity (EEO) 
Employee Polygraph Protection Act (EPPA) 

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