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Data Engineer Jobs in York, SC (NOW HIRING)

2T Consulting

AWS Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Cramerton, NC · On-site

$103K - $123K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

Euclid Innovations

Data Engineer - GCP

Charlotte, NC · On-site

$111K - $134K/yr

Euclid Innovations is seeking a Data Engineer with expertise in Google Cloud Platform. The role involves designing and building scalable ETL/data pipelines, ensuring data quality, and collaborating ...

eTeam

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Job Summary : eTeam is seeking an AWS Data Engineer to join their team in Charlotte, NC. The role involves data engineering using Python, working with AWS technologies, and optimizing big data ...

Contact Government Services, LLC

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

2T Consulting

AWS Data Engineer

Mcadenville, NC

$103K - $123K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Stallings, NC

$107K - $128K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Paw Creek, NC

$110K - $132K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Weddington, NC · On-site

$107K - $128K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Clover, SC · On-site

$98K - $118K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Charlotte, NC

$111K - $134K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Tega Cay, SC · On-site

$99K - $119K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Mount Holly, NC

$106K - $127K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Lake Wylie, SC · On-site

$109K - $131K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Clover, SC · On-site

$98K - $118K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

2T Consulting

AWS Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in York, SC

Data Engineer information

See York, SC salary details

$41.3K

$120.3K

$164.6K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in York, SC is $120,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,500.00 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 York, SC?

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

What are popular job titles related to Data Engineer jobs in York, SC?

For Data Engineer jobs in York, SC, the most frequently searched job titles are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in York, SC as of August 2026, with employment types broken down into 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $120,286 per year, or $57.8 per hour.

AWS Data Engineer

2T Consulting

Fort Mill, SC • On-site

$100K - $120K/yr

Full-time

Posted 8 days ago

Job description

Must Have Skills

  • Strong experience in AWS services (hands-on experience) Data engineering skills (Glue, ECS, Data pipeline etc,) primarily serverless, databases, storage services, container services, schedulers, and batch services.

  • Experience in Snowflake and Data Build Tool.

  • Expertise in DBT, NodeJS and Python.

  • Expertise in Informatica, Power BI, DataStage, Database, Cognos.

  • Knowledge on AI

  • AWS services AI skills – Build AI agents, Gen AI

  • Gitlab CI/CD pipeline

Detailed Job Description:
  • Strong experience in AWS services AWS services ( hands-on experience) - Data engineering skills (Glue, ECS, Data pipeline etc.,) primarily serverless, databases, storage services, container services, schedulers, and batch services.
  • Experience in Snowflake and Data Build Tool.
  • Expertise in DBT, NodeJS and Python.
  • Expertise in Informatica, Power BI , DataStage, Database, Cognos.
  • Knowledge on AI
  • AI skills – Build AI agents, Gen AI
  • Gitlab CI/CD pipeline
  • Should have good mix of Data engineering and AI work.
  • Proven experience in leading teams across locations.
  • Knowledge of DevOps processes, Infrastructure as Code and their purpose.
  • Good understanding of data warehouses, their purpose, and implementation.
Top 3 responsibilities you would expect the Subcon to shoulder and execute
  • Should have good expertise in delivery coordination Should be able to manage complex software application development and support projects
  • Should be able to manage offshore resources also.
  • Should be able to work with other onsite team members and client Good communication skills.

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