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Data Engineer Jobs in Greer, SC (NOW HIRING)

Regional Finance

Manager, Data Analytics

Greer, SC · On-site

Bachelor's degree in Statistics, Math, Engineering, Computer Science (or similar field) * Strong experience translating business requirements into data solutions * Proven ability to work ...

Regional Finance

Manager, Data Analytics

Greer, SC

Bachelor's degree in Statistics, Math, Engineering, Computer Science (or similar field) * Strong experience translatingbusiness requirements into data solutions * Proven ability to workindependently ...

Vertiv Co

Data Analyst

Pelzer, SC

... Programming experience (e.g., VBA or other languages) is a plus - Experience working with data structures, templates, and tracking tools - Strong analytical and problem-solving skills - Strong ...

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All JobsData Engineer JobsData Engineer Jobs in Greer, SC

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 Jun 29, 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 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 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.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

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 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.

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 does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
More about Data Engineer jobs
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 are popular job titles related to Data Engineer jobs in Greer, SC? For Data Engineer jobs in Greer, SC, the most frequently searched job titles are:
What cities near Greer, SC are hiring for Data Engineer jobs? Cities near Greer, SC with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Greer, SC as of June 2026, with employment types broken down into 3% As Needed, 92% Full Time, 1% Part Time, 3% 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.
Senior SCADA Support Engineer (MICS)

Senior SCADA Support Engineer (MICS)

NTT DATA Services

Gray Court, SC • On-site, Remote

$78K - $164K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Key responsibilities

  • Provide L2 support for MICS SCADA incidents, service requests, and operational issues.

  • Lead coordination across business users, global IT teams, rollout teams, and development teams.

  • Support SCADA rollout, configuration, validation, debugging, and stabilization activities.

NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

108th of 206 rated it services

Job description

Req ID: 372888 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior SCADA Support Engineer (MICS) to join our team in Gray Court, South Carolina (US-SC), United States (US).

We are currently seeking a Senior SCADA Support Engineer (MICS) to join our team in Gray Court, SC.

Senior SCADA Support Engineer with strong hands-on experience in SCADA systems (preferably MICS) to support a long-term engagement. This role requires a senior-level professional who can operate independently, lead technical activities, and collaborate effectively with globally distributed teams.

The candidate will play a key role in support operations, system enhancements, and coordination across business and IT stakeholders.

  • Provide L2 support for MICS SCADA incidents, service requests, and operational issues.
  • Act as SPOC for Incident, Change, and Problem Management processes.
  • Perform root cause analysis, troubleshooting, and issue resolution.
  • Lead coordination across business users, global IT teams, rollout teams & development teams.
  • Support SCADA rollout, configuration, validation, debugging, and stabilization activities.
  • Gather, analyze, and document requirements for enhancements and change requests.
  • Participate in and support test management, including defect tracking and validation.
  • Drive execution of small orders and work packages within larger initiatives.
  • Maintain documentation for risks, defects, and continuous improvement opportunities.
  • Track and report license usage and system lifecycle information where applicable.
  • Provide on-demand support (including occasional weekends) as required.

Qualifications

  • 5+ years of experience in SCADA systems (MICS preferred).
  • 3+ years of experience with MS SQL databases.
  • 3+ years of experience in SCADA rollout and configuration.
  • 5+ years of experience in Incident, Change, and Problem Management (ITIL-aligned).
  • 7+ years of experience in L1/L2 production support environments.
  • 5+ years of experience working with globally distributed teams.

Must reside in the US 

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $78,948.00-$164,476.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.  

This position may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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