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Data Engineer Jobs in Charleston, SC (NOW HIRING)

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability ...

Data Engineer

Charleston, SC · On-site

$160K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability ...

Data Engineer

Charleston, SC · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Software/ Data Engineer

North Charleston, SC · Hybrid

$109K - $131K/yr

Description Software/ Data Engineer At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust ...

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

Position Summary The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data systems that support analytics and data-driven decision ...

Senior Data Engineer

Charleston, SC

$99K - $134K/yr

Position Summary The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data systems that support analytics and data-driven decision ...

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Showing results 1-20

Data Engineer information

See Charleston, SC salary details

$42.4K

$123.7K

$169.3K

How much do data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer in Charleston, SC is $123,719.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,100.00 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.
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:
Infographic showing various Data Engineer job openings in Charleston, SC as of July 2026, with employment types broken down into 79% Full Time, 7% Part Time, 7% Temporary, and 7% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $123,719 per year, or $59.5 per hour.
Data Engineer

Data Engineer

KORE1 Technologies

Charleston, SC • On-site, Remote

$107K - $128K/yr

Contractor

Medical, Retirement

Posted 26 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Engineer that is based in Charleston, SC. Remote /hybrid flexibility. 

Position Overview
We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business intelligence capabilities. This is a foundational role within a firm actively modernizing its data architecture by replacing fragmented automations with scalable, production-grade pipelines and establishing a centralized, reliable source of truth across multiple systems.
The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability to navigate a complex, multi-system financial data environment.
This position will play a central role in supporting the organization's evolving AI and analytics initiatives. The ideal candidate will help structure, govern, and optimize warehouse data to support future AI-enabled workflows and advanced reporting capabilities.
The Data Engineer will work closely with cross-functional teams including Operations, IT, business stakeholders, and external technology partners to ensure the data platform evolves in alignment with operational and strategic needs.
Key Responsibilities

Architecture & Infrastructure
* Evaluate and recommend scalable data architecture solutions, including warehouse and lakehouse strategies.
* Build and maintain a centralized cloud data warehouse environment.
* Design and maintain scalable ingestion pipelines across multiple operational and financial systems.
* Develop data structures and governance models that support analytics, reporting, and future AI-driven workflows.
* Ensure the data platform is designed with long-term scalability, security, and accessibility in mind.
Data Modeling & Transformation
* Design and implement canonical data models across financial and operational datasets.
* Write and optimize complex SQL queries, transformations, and performance-tuned data workflows.
* Replace manual or lightweight automations with production-grade ETL/ELT pipelines using Python and cloud-native tooling.
Integrations & APIs
* Build and maintain REST API integrations across third-party platforms and internal systems.
* Develop Python-based ingestion and transformation processes.
* Support orchestration and storage within a cloud environment using modern data engineering best practices.
Data Quality, Governance & Security
* Implement validation frameworks, deduplication logic, monitoring, and exception handling processes.
* Configure role-based access controls and maintain auditability across the data environment.
* Document and maintain end-to-end data lineage and governance standards.
* Support compliance and security requirements for sensitive financial and operational data.
Reporting & Documentation
* Deliver reporting-ready datasets supporting portfolio analytics, operational reporting, and business intelligence initiatives.
* Support BI tool integrations and semantic layer development for technical and non-technical users.
* Create and maintain documentation for architecture decisions, pipelines, and data dictionaries.
Cross-Functional Collaboration
* Partner closely with Operations, IT, and leadership teams to align data infrastructure with business goals.
* Participate in ongoing technology and systems planning initiatives.
* Act as a key liaison between technical and business stakeholders to ensure data solutions meet organizational needs.
Technical Requirements
* Advanced Python development for data engineering and automation
* Advanced SQL skills including performance optimization and complex transformations
* Strong experience with Snowflake or similar cloud data warehouse platforms
* Experience designing scalable data models and ETL/ELT pipelines
* REST API integration experience including authentication, pagination, and error handling
* Cloud platform experience, preferably AWS
* Strong understanding of data quality, governance, and access controls
* Ability to work cross-functionally in fast-paced environments
Preferred Skills
* Experience supporting AI or LLM-enabled workflows
* Financial services, private equity, asset management, or investment operations experience
* Familiarity with CRM, fund administration, or portfolio management platforms
* Experience with BI tools such as Tableau, Looker, or Sigma
Required Qualifications
* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
* 5+ years of experience in data engineering
* Strong production experience with Python and SQL
* Experience building scalable cloud-based data platforms
* Strong documentation and communication skills
Preferred
* Experience working with financial datasets and investment operations
* Exposure to AI-driven analytics or agent-based workflows
* Experience implementing enterprise reporting and business intelligence solutions

Core Competencies
* Ownership and accountability
* Strong analytical and systems thinking
* Cross-functional collaboration
* Clear communication with technical and non-technical stakeholders
* Adaptability in fast-paced environments
* High standards for governance, accuracy, and compliance
Location & Work Environment
This position is preferably based in the Southeast United States, though remote candidates may be considered for the right fit.
Compensation & Benefits
* Competitive compensation package
* Performance-based incentives
* Comprehensive health and retirement benefits
* High visibility with leadership and strategic initiatives
* Opportunity to help build foundational infrastructure within a growing organization



Compensation depends on experience but is typically 145-160k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. 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. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.
Education:Employment Type: CONTRACTOR