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Data Engineer Jobs in Greer, SC (NOW HIRING)

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Position Summary The Data Engineer will play a critical role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and ...

United Community Bank

Data Engineer

Greenville, SC · On-site

$60K - $93K/yr

Overview United Community is seeking an experienced and motivated Data Engineer . The ideal candidate will be responsible for designing and implementing new data pipelines that support our data ...

Pwc

Data Engineer - Manager

Spartanburg, SC

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 ...

Pwc

Data Engineer - Senior Manager

Spartanburg, SC

$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 ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/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 ...

Pwc

Data Engineer - Manager

Spartanburg, SC

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

DPR Construction

Data Engineering Lead- Finance

Greenville, SC · On-site

$107K - $129K/yr

They are looking for a talented Data Engineer to develop robust data solutions that support business goals, collaborating with business leaders and a global engineering team. Responsibilities : • ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Strategy-Manager

Spartanburg, SC

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Spartanburg, SC

$99K - $232K/yr

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

Purpose Financial

Data Operations Engineer

Greenville, SC · On-site

$107K - $129K/yr

You'll work closely with data engineering, analytics, and infrastructure teams to support mission-critical data workflows, with a strong focus on Snowflake, Kafka, and modern data-ops best practices.

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Showing results 1-20

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 28, 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.
Data Engineer

Data Engineer

Purpose Financial

Greenville, SC • On-site

$107K - $129K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 hours ago

Purpose Financial rating

5.4

Company rating: 5.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

Brand: Purpose Financial
Address: 322 Rhett Street, Greenville, South Carolina, United States - 29601
Purpose Financial, Inc. is an innovative consumer financial services company that offers a diverse suite of credit products, promoting financial inclusion and meeting consumers wherever they are. Through its brands, the company is committed to helping customers achieve their version of financial stability in the moment and in the future. Since 1997, Purpose Financial has been a pioneer in the consumer credit and financial services market offering money solutions in over 800 storefronts locations and online lending. Providing services in over 23 states, Purpose Financial employs over 2,500 team members.
At Purpose Financial we are always on the lookout for motivated individuals who share in our values of mutual respect to join our team of outstanding professionals.
We offer:
  • Competitive Wages
  • Health/Life Benefits
  • Health Savings Account plus Employer Seed
  • 401(k) Savings Plan with Company Match
  • Paid Parental Leave
  • Company Paid Holidays
  • Paid Time Off including Volunteer Time
  • Tuition Reimbursement
  • Business Casual Environment
  • Rewards & Recognition Program
  • Employee Assistance Program
  • Office in downtown Greenville that offers free parking, onsite gym, free snacks/drinks

To learn more about Purpose Financial visit Purpose Financial Website.
Position Summary
The Data Engineer will play a critical role in designing, building, and maintaining our data infrastructure and pipelines to enable efficient collection, storage, processing, and analysis of large-scale datasets. Collaborate with cross-functional teams to build and acquire underlying data for application owners, end-users, and design strategic data services for the organization. The right Data Engineer will need to have working knowledge of AWS and/or Snowflake cloud environments.
Job Responsibility
  • Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, semi-structured, and unstructured data from various sources into our data lake and warehouse environments.
  • Implement data integration solutions to consolidate data from disparate sources, including databases, API's, streaming platforms, and third-party services (e.g., Snowpipe, SnowPark, Dynamo, Kafka).
  • Optimize data processing workflows for performance, efficiency, and scalability using distributed computing or parallel processing frameworks such as FiveTran, dbt, Snowpark, Snowpipe, etc....
  • Collaborate cross-functionally with IT & business stakeholders to understand data requirements, define data models, and develop solutions to support data services, reporting, and Software Development.
  • Partner with data, IT, and business teams to improve design and building of metrics to enhance our analytic capabilities.
  • Implement data quality checks, data validation processes, and error handling mechanisms to ensure the accuracy, completeness, and reliability of data across all stages of the data lifecycle.
  • Support the design and maintenance of data schemas, and metadata repositories for governance documentation of data lineage, definitions, and dependencies.

Job Responsibilities Cont.
  • Support the development and maintenance of data governance policies, standards, and best practices to ensure compliance with data privacy regulations and industry standards.
  • Apply best practices for AWS and Snowflake architectures, data pipelines and data models.
  • Monitor, troubleshoot, and optimize the performance and availability of data systems and infrastructure using monitoring and logging tools such as Prometheus.
  • Stay current with emerging technologies, tools, and trends in data engineering, cloud architectures, and cloud computing to evaluate their potential impact and relevance to our data platforms.

Education Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field. College graduate with a desire to learn.
Experience Required
  • Two years of experience in data engineering, data pipelines, and data services preferred.
  • Familiarity with Agile/Scrum based development and methodology.
  • Strong proficiency in programming languages such as Python, SQL, Spark, or Java, with experience in data manipulation, transformation, and analysis.
  • Hands on experience with cloud-based data platforms and services such as AWS and Snowflake.
  • Experience with distributed computing frameworks such as Apache Spark, Kafka, etc.
  • Proficiency in database systems, data warehousing, data patterns/architectures, and SQL query optimizations.
  • Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
  • Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced and collaborative environment.
  • Strong communication, interpersonal and teamwork skills, with the ability to interact with stakeholders at all levels of the data team.

Knowledge Required
Excellent written and verbal communications skills; adaptability and flexibility to a changing environment; and comfortable working in a dynamic, high volume, fast-paced environment. Ability to understand and ensure compliance with policies, procedures, and laws governing our industry/business and products.
Physical Requirements
Sitting for long periods of time; standing occasionally; walking; bending; squatting; kneeling; pushing/pulling; reaching; twisting; frequent lifting of less than 10 lbs., occasional lifting of up to 20 lbs.; driving and having access during the workday to an insured and reliable transportation; typing; data entry; grasping; transferring items between hands and/or to another person or receptacle; use of office equipment to include computers; ability to travel to, be physically present at, and complete the physical requirements of the position at any assigned location.
Competencies
Technical Proficiency/Leadership
OKR
Travel
None
Attire
Business Casual
Other
Must be eligible to work in the USA and able to pass a background check.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability.
Requisition ID: 46112

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