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Data Engineer Jobs in Simpsonville, SC (NOW HIRING)

Synnex

Sr. Data Analyst

Greenville, SC · On-site

$80K - $102K/yr

In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering ... You'll work with data from AWS, Azure, and Google Cloud Platform (GCP) , as well as financial ...

AFL Network Services

Senior Power BI Developer

Duncan, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Modeling & Analytics * Design and maintain enterprise semantic models and reusable business metrics. * Implement fact and dimension models, hierarchies, aggregations, and composite models.

New

AFL

Senior Power BI Developer

Duncan, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Modeling & Analytics * Design and maintain enterprise semantic models and reusable business metrics. * Implement fact and dimension models, hierarchies, aggregations, and composite models.

Pwc

US Tech - AI Engineering Senior Associate

Spartanburg, SC · On-site

$55K - $187K/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 ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ... Proficiency in programming and working with open-source AI/ML languages and tools, including but ...

Global Lending Services

Data Scientist

Greenville, SC · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ... Proficiency in programming and working with open-source AI/ML languages and tools, including but ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

AFL

Data Governance Analyst

Duncan, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... engineering and installation services for some of the largest telecom customers in the world. Our ... We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able ...

AFL Network Services

Data Governance Analyst

Duncan, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... engineering and installation services for some of the largest telecom customers in the world. Our ... We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able ...

New

Afl Telecommunications Llc

Data Governance Analyst

Duncan, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... engineering and installation services for some of the largest telecom customers in the world. Our ... We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able ...

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Showing results 41-60

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 17, 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.

Sr. Data Analyst

Synnex

Greenville, SC • On-site

$80K - $102K/yr

Full-time

Posted 4 days ago

Job description

About the Role
We're looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.
This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You'll work with data from AWS, Azure, and Google Cloud Platform (GCP), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.
If you're energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.
What You'll Do
  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
  • Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
  • Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
  • Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
  • Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
  • Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
  • Measure the impact of FinOps and optimization initiatives to quantify business value.
  • Communicate findings clearly to both technical and non-technical audiences, including senior leadership.
What You Bring
  • 3-5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
  • Experience working with large, complex datasets and translating analysis into practical business recommendations.
  • Knowledge of AWS, Azure, and GCP cloud services, billing structures, and consumption models.
  • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
  • Proficiency in Python, R, or other analytical programming languages.
  • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
  • Understanding of data modeling, governance, data quality, and business performance metrics.
  • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.
Preferred Certifications
Candidates with certifications in the following areas will be especially attractive:
  • FinOps
  • Cloud Platform Certification (AWS, Azure, or GCP)
  • Data Analytics / Business Intelligence
  • AI or Machine Learning
Why This Role Stands Out
This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You'll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It's an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.
At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.
Work Environment
  • Professional office environment
  • Occasional non-standard work hours based on business needs

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What's In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It's not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don't meet every single requirement? Apply anyway.

At TD SYNNEX, we're proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you're excited about working for our company and believe you're a good fit for this role, we encourage you to apply. You may be exactly the person we're looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

TD SYNNEX is an E-Verify company

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