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Data Engineer Jobs in Fort Mill, SC (NOW HIRING)

Insight Global

Data Engineer

Charlotte, NC · On-site

$50 - $64/hr

AWS Data Engineer Location: Charlotte, NC (Onsite Tuesday & Wednesday) Duration: 18-Month Contract Openings: 3 Total (1 must be based in/near Charlotte, NC; 2 open to relocation) Compensation * Up to ...

The Hartford

Data Engineer

Charlotte, NC

$111K - $134K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

* The Cloud Data Storage / Data Engineer SME & Data Structure Designer will support the design, implementation, and optimization of secure, scalable, and high-performance cloud-based data platforms for ...

BC Forward

Data Engineer

Charlotte, NC · On-site

$70.23/hr

Data Engineer Location: Charlotte, NC / Kennesaw, GA / Richmond, VA Duration: Contract - 9 months Pay Range: $70.23/hr (W2) Job ID: 399873 About BCforward BCforward is a leading global IT consulting ...

Inficare Technologies

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git * BS or MS degree in computer science, computer ...

Sarian, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Fulltime * 7+ years' experience as Data Engineer having experience working with Bigdata Hadoop and data warehousing projects. * Tech stacks includes PySpark ...

Triunity Software

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer (PySpark) - Short Role: Data Engineer - PySpark Key Responsibilities: * Develop and maintain ETL/data pipelines using PySpark. * Process and transform large datasets efficiently.

Allspring Global Investments

Data Engineer

Charlotte, NC · On-site

$110K - $130K/yr

Data Engineer Location US-NC-Charlotte ID 2026-1231 Position Type Full-Time Category Technology Overview Allspring is seeking a Data Engineer II to join Allspring Engineering and Technology Platform ...

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Redolent, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC, Denver, CO, Jacksonville, FL and Chicago, IL. This is a 12+ month W2 contract opportunity. Summary: Join ...

Apex Informatics

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Contract: Ongoing contract (up to 24 months) Location: Charlotte NC Onsite / Hybrid / Remote: Hybrid- 3 days onsite Interview Process: 2 rounds (virtual)- 1st is 30 minute technical ...

Amicis Global

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Title: Data Engineer Duration: 12+ months Location: Charlotte, NC 28202 Role Objectives • These roles will be part of the Data Strategy team spanning across the *** Capital Markets and Nikko ...

SysMind Tech

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are seeking a highly skilled Full Stack Data Engineer to join our team. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal ...

Nucor

Data Engineer

Rock Hill, SC · On-site

$99K - $119K/yr

Nucor Business Technology (NBT) is seeking qualified applicants for the position of Data Engineer. This position will be responsible for designing and maintaining robust data models that support ...

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Must Haves: * 4 years + - Cloud Data Storage and Data Engineering across Google Cloud Platform (GCP), Microsoft Azure, and AWS environments. Solid communication skills Nice To Have: * SQL Server ...

CogniSoft Technologies

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Lead Data Engineer Location : Charlotte NC 28273 Duration : 12+ Months Must Have: They must have very strong Data Bricks experience using the latest version Good communication skills Leading a team ...

The Hartford

Data Engineer

Charlotte, NC · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

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All JobsData Engineer JobsData Engineer Jobs in Fort Mill, SC

Data Engineer information

See Fort Mill, SC salary details

$41.6K

$121.2K

$165.9K

How much do data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data engineer in Fort Mill, SC is $121,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $128,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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.

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 pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Fort Mill, SC? The most popular types of Data Engineer jobs in Fort Mill, SC are:
What are popular job titles related to Data Engineer jobs in Fort Mill, SC? For Data Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Fort Mill, SC look for? The top searched job categories for Data Engineer jobs in Fort Mill, SC are:
What cities near Fort Mill, SC are hiring for Data Engineer jobs? Cities near Fort Mill, SC with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Fort Mill, SC as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,205 per year, or $58.3 per hour.
Data Engineer

Data Engineer

Insight Global

Charlotte, NC • On-site

$50 - $64/hr

Contractor

Medical, Dental, Vision

This job post has expired today. Applications are no longer accepted.

Job description

AWS Data Engineer

Location: Charlotte, NC (Onsite Tuesday & Wednesday)

Duration: 18-Month Contract

Openings: 3 Total (1 must be based in/near Charlotte, NC; 2 open to relocation)

Compensation

  • Up to $64/hour on W2
  • 18-month contract engagement with a leading financial services organization

About the Opportunity

Insight Global is seeking experienced AWS Data Engineers to join a Financial Client on a large-scale data modernization initiative. This team is focused on unifying and migrating legacy data platforms into a modern AWS-based ecosystem that supports multiple lines of business across the organization.

This is a highly technical, hands-on data engineering position for professionals who enjoy designing, building, and optimizing cloud-based data pipelines while working closely with business and technology teams to solve complex data challenges.


What You'll Be Doing

  • Design, build, test, and maintain scalable ETL/data pipelines in AWS
  • Develop data integration solutions using AWS Glue, PySpark, Python, and SQL
  • Migrate and transform data from legacy systems into modern cloud-based platforms
  • Analyze source data, validate business requirements, and recommend data solutions
  • Enhance and optimize existing data models and pipeline performance
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions
  • Troubleshoot pipeline issues and implement improvements to ensure reliability and scalability
  • Work independently to drive projects forward and take ownership of technical deliverables

Required Qualifications

  • 8+ years of experience in Data Engineering, ETL Development, or related fields
  • 3+ years of hands-on AWS experience building and maintaining data solutions
  • Strong expertise with AWS Glue
  • Strong experience with PySpark (AWS Glue experience highly preferred)
  • Advanced SQL skills, including complex joins, data profiling, and performance optimization
  • Experience designing and building end-to-end ETL pipelines
  • Strong Python programming skills and understanding of object-oriented programming concepts
  • Experience working with large-scale data migration or modernization projects
  • Ability to perform data analysis, interpret business requirements, and translate them into technical solutions
  • Strong problem-solving and troubleshooting skills
  • Experience explaining project work, technical decisions, and business impact to stakeholders

Preferred Qualifications

  • Experience with AWS services such as S3 and other cloud-native data tools
  • Background with legacy ETL technologies such as Ab Initio, Talend, Informatica, or similar platforms
  • Understanding of AI tools, agents, and practical use cases
  • Experience optimizing PySpark jobs and AWS-based data processing workloads
  • Knowledge of CI/CD processes supporting data engineering environments

Ideal Background

We're looking for true Data Engineers rather than Software Engineers. Strong candidates often come from:

  • Data Engineering
  • ETL Development
  • Data Warehousing
  • Analytics Engineering
  • Advanced Data Analyst backgrounds that evolved into engineering-focused roles

Candidates should demonstrate recent, hands-on AWS experience and be comfortable discussing the architecture, development, and deployment of end-to-end data pipelines.