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Data Engineer Jobs in Charleston, SC (NOW HIRING)

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize ...

CSS, Inc

Data Scientist

Charleston, SC

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize ...

CSS Inc

Data Scientist

Charleston, SC · On-site

$70 - $90/hr

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least one scripting language (Python or R preferred) to build data pipelines, visualize data ...

CSS, Inc

Data Scientist

Charleston, SC · On-site

Experience with data engineering, data management, or scientific data systems.Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize data ...

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$101.32 - $161.60/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions * Evaluate and recommend data science tools, technologies, and methodologies

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions * Evaluate and recommend data science tools, technologies, and methodologies

PEMCCO, Inc.

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions * Evaluate and recommend data science tools, technologies, and methodologies

PEMCCO

Senior Data Scientist

Hanahan, SC · On-site

$48.56 - $77.69/hr

Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions * Evaluate and recommend data science tools, technologies, and methodologies

Google

Data Center Mechanical Engineer

Ridgeville, SC · On-site

The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and ...

Google

Senior Data Center Mechanical Engineer

Ridgeville, SC · On-site

$103K - $136K/yr

The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Charleston, SC

Data Engineer information

See Charleston, SC salary details

$41.6K

$121.4K

$166.1K

How much do data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer in Charleston, SC is $121,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 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 Charleston, SC?

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

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

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

What job categories do people searching Data Engineer jobs in Charleston, SC look for?

The top searched job categories for Data Engineer jobs in Charleston, SC are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Charleston, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,391 per year, or $58.4 per hour.

Data Scientist

CSS, Inc

Charleston, SC • On-site

Full-time

Re-posted 3 hours ago

Job description

CSS/RPI is seeking qualified candidates to manage, restore, and optimize three scientific databases to support long-term scientific integrity, collaboration, and public access to harmful algal bloom data at the Hollings Marine Laboratory in Charleston, SC.
Experience Required:
  • Experience with data engineering, data management, or scientific data systems.
  • Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize data, and integrate within a federal cyberinfrastructure.
  • Experience with data standards.
  • Demonstrated experience with image processing and spatial data workflows (eg ArcGIS).
  • Ability to implement an effective data quality assurance process, data optimization, and documentation procedures.
  • Read, scope, author, and/or execute code of varying degrees of complexity for automation of data production, analysis, and distribution.
  • Strong organizational skills, time management, and ability to manage multiple priorities in a dynamic environment.
  • Effective team contributor with excellent interpersonal skills.
  • Capable of working independently to meet project objectives and timelines.

Highly Desirable Experience:
  • Experience with ecological /environmental datasets and marine monitoring programs.
  • Familiarity with data sharing platforms (ERDDAP, OBIS).
  • Experience modernizing legacy systems.
  • Demonstrated ability to work individually and as part of a team; highly effective interpersonal skills, as well as strong written and verbal communication competencies.

Phytoplankton Monitoring Network (PMN) Database:
  • Centralize and standardize disparate PMN datasets in a unified structure for archiving into ERDDAP.
  • Develop and maintain scripts for automated data transfer between data platforms.
  • Align datasets with Darwin Core standards to support data sharing.
  • Coordinate with NCCOS and NCEI to advance the development of a GIS enabled data dashboard.
  • Ensure PMN data integrity through accurate documentation, version control, backup, and quality control/quality assurance processes.
  • Develop and maintain metadata standards to meet federal data quality requirements.

Analytical Response Team (ART) Database
  • Restore and modernize legacy database systems (MS Access/SQL-based systems)
  • Migrate data to a sustainable and scalable platform.
  • Implement governance practices to ensure data integrity through documentation, file backup, and quality control.

Intergovernmental Panel on Harmful Algal Blooms (IPHAB) Toxins Database
  • Coordinate with Ocean Biodiversity Information System (OBIS) to incorporate PMN data.
  • Create data pipelines for automated data transfer between PMN and OBIS/IOC platforms.
  • Support international data harmonization and interoperability efforts.

At CSS, we are committed to fostering an inclusive and merit-based workplace. We provide equal employment opportunities to all individuals, ensuring that hiring and employment decisions are based on qualifications, skills, and performance. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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