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Data Engineer Jobs in Florence, SC (NOW HIRING)

TiltEdge Solutions LLC

Plant Data Validator

Florence, SC · On-site

$85K - $95K/hr

Position: Plant Data Validator Work Location: Florence, SC Duration: Fulltime/Direct Hire 1. ... Validate Engineering BOM (EBOM) in Windchill prior to Manufacturing BOM creation. * Coordinate with ...

VDart Inc

Electrical Engineer

Florence, SC · On-site

Electrical Engineer Location: Florence, SC Duration: Fulltime Responsibilities * Lead the ... Experience in manufacturing facilities or data center or university campus from ground-up * In ...

Gehc

Cryogenic Engineer

Florence, SC

The engineering, manufacturing, and support teams here are building technology designed to support ... data analysis and reduction. Lead resolution of cryogenic, thermal and vacuum issues relating to ...

GE Healthcare

Cryogenic Engineer

Florence, SC · On-site

The engineering, manufacturing, and support teams here are building technology designed to support ... data analysis and reduction. Lead resolution of cryogenic, thermal and vacuum issues relating to ...

GE HealthCare

Cryogenic Engineer

Florence, SC · On-site

The engineering, manufacturing, and support teams here are building technology designed to support ... data analysis and reduction. Lead resolution of cryogenic, thermal and vacuum issues relating to ...

TiltEdge Solutions LLC

Industrial Engineer

Florence, SC · On-site

$85K - $95K/yr

Procurement processes Inventory management Material master data Goods Receipt (GR) / Goods Issue ... Engineering, Mechanical Engineering, or related field Certifications in Lean / Six Sigma (Green ...

TiltEdge Solutions LLC

Ergonomics Engineer

Florence, SC · On-site

$50 - $55/hr

Ergonomics Engineer Work Location: Florence, SC Duration: Fulltime/Direct Hire * Conduct ergonomic ... Analyze data and track effectiveness of interventions * Support digital transformation initiatives ...

Varsity Tutors

Data Science Tutor

Florence, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Clayco

VDC Engineer

Florence, SC

... Data Center Builders - Data Center Contractor (Top 3). Benefits * Discretionary Annual Bonus: Subject to company and individual performance. * Comprehensive Benefits Package Including: Medical ...

Clayco

VDC Engineer

Florence, SC · On-site

... Data Center Builders - Data Center Contractor (Top 3). Benefits * Discretionary Annual Bonus: Subject to company and individual performance. * Comprehensive Benefits Package Including: Medical ...

Clayco

VDC Engineer

Florence, SC · On-site +1

... Data Center Builders - Data Center Contractor (Top 3). Benefits * Discretionary Annual Bonus: Subject to company and individual performance. * Comprehensive Benefits Package Including: Medical ...

Clayco

VDC Engineer

Florence, SC

... Data Center Builders - Data Center Contractor (Top 3). Benefits * Discretionary Annual Bonus: Subject to company and individual performance. * Comprehensive Benefits Package Including: Medical ...

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Showing results 1-20

All JobsData Engineer JobsData Engineer Jobs in Florence, SC

Data Engineer information

See Florence, SC salary details

$43K

$125.4K

$171.6K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Florence, SC is $125,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,700.00 and $132,900.00 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 Florence, SC?

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Florence, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,402 per year, or $60.3 per hour.

Plant Data Validator

TiltEdge Solutions LLC

Florence, SC • On-site

$85K - $95K/hr

Full-time

Re-posted 14 days ago

Job description

Position: Plant Data Validator
Work Location: Florence, SC
Duration: Fulltime/Direct Hire
 
Job Description:
 
1. Material Master Creation & Governance (SAP)
•    Create and maintain Material Masters (MM01/MM02) for:
o    Finished Goods (FERT)
o    Semi-Finished Goods (HALB)
o    Raw Materials (ROH)
o    Spare Parts
o    Packaging Materials
•    Maintain all relevant SAP views:
o    Basic Data
o    MRP 1–4
o    Work Scheduling
o    Purchasing
o    Accounting
o    Sales (if applicable)
•    Define and validate:
o    MRP Type, Lot Size, Safety Stock
o    Procurement Type (In-house/External)
o    Production Storage Locations
o    Backflush indicators
o    Batch management (if applicable)
•    Ensure proper plant extension and cross-plant consistency.
•    Validate costing relevance and valuation class alignment.
________________________________________
2. Windchill Integration & Engineering Alignment
•    Review part creation in Windchill before SAP material creation.
•    Ensure proper mapping between:
o    Windchill Part Number
o    SAP Material Number
o    Revision levels
•    Validate Engineering BOM (EBOM) in Windchill prior to Manufacturing BOM creation.
•    Coordinate with Engineering for:
o    Part classification
o    Drawing approvals
o    Change notice release
•    Ensure revision control synchronization between Windchill and SAP.
•    Support digital thread alignment between PLM (Windchill) and ERP (SAP).
________________________________________
3. PDR (Product Data Release / Product Data Request) Process Ownership
•    Execute master data creation based on approved PDR workflow.
•    Validate completeness of PDR package:
o    Approved drawings
o    EBOM structure
o    Revision status
o    Engineering Change documentation
•    Ensure no material is created without proper approval workflow.
•    Maintain PDR tracking log and release documentation.
•    Ensure correct validity dates for:
o    BOM
o    Routing
o    Production Version
•    Participate in PDR review meetings with Engineering & Operations.
________________________________________
4. BOM & Routing Validation
•    Create and validate Manufacturing BOM (CS01/CS02):
o    Component accuracy
o    Quantity correctness
o    Alternative items
o    Validity periods
•    Create and validate Routings (CA01/CA02):
o    Work centers
o    Operation sequence
o    Standard times
o    Control keys
•    Ensure Production Version consistency between BOM & Routing.
•    Validate test window operations and production feasibility.
•    Support resolution of production order errors due to master data issues.
________________________________________
5. Engineering Change Management (ECR/ECO)
•    Implement Engineering Change Orders in SAP.
•    Ensure correct change numbers and effectivity dates.
•    Validate obsolete material phase-out process.
•    Support revision rollouts and supersession management.
•    Maintain audit trail of changes.
________________________________________
6. Data Quality & Compliance
•    Perform periodic plant master data audits.
•    Identify discrepancies between Windchill and SAP.
•    Develop master data validation checklists.
•    Support internal and external compliance audits.
•    Maintain data governance documentation.
________________________________________
7. Cross-Functional Collaboration
•    Partner with:
o    Product Engineering
o    Manufacturing
o    Production Planning
o    Supply Chain
o    Quality
o    IT / SAP Support
•    Act as plant-level SME for master data integrity.
•    Provide user training on master data best practices.

 
Qualification:
'•    Bachelor’s degree in Engineering, Industrial Engineering, Supply Chain, or related field.
•    3+ years experience in:
o    SAP PP/MM Master Data
o    Manufacturing environment
o    Engineering data validation