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Data Engineer Jobs in Columbia, SC (NOW HIRING)

Robert Half

Director of Data Analytics

Columbia, SC · On-site

Strong foundation in data engineering concepts, including data pipelines, warehouse design, and ... structured data management. * Knowledge of data governance principles and the ability to apply them ...

New

Unum UK

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Data Visualization: Expertise on at least one visualization tool with working knowledge of others ...

Infojini Inc

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

... SQL etc), programming (xml, Javascript, or ETL frameworks) • Knowledge of statistics and ... Should be able to recommend data warehouse designing • Experienced in requirement gatherings from ...

Ceeus, Inc.

Business Intelligence Developer

Columbia, SC · On-site

$90 - $110/hr

Collaborate with the Data Engineer and Application Developer for data integration efforts. Responsible use of AI: CEEUS supports approved AI-assisted tools. The developer remains accountable for ...

Infojini Inc

Data Architect

Columbia, SC

$59 - $75.75/hr

... programming (xml, Javascript, or ETL frameworks) Knowledge of statistics and experience using ... Should be able to recommend data warehouse designing Experienced in requirement gatherings from ...

InterSources Inc

Data/Information Architect

Blythewood, SC · On-site

$50.75 - $65.50/hr

Responsibilities : • Create and maintain logical and physical data models using ERWIN Data Modeler. • Perform reverse and forward engineering of Oracle and MS SQL database structures. • Conduct ...

Cumming Group

Automation Engineer

Columbia, SC · On-site

Working as a member of the Data team, the Automation Engineer partners closely with Information Technology, Human Resources, Operations, Finance, Facilities, Marketing, and Corporate Services to ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Columbia, SC

Data Engineer information

See Columbia, SC salary details

$36.3K

$105.9K

$144.9K

How much do data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer in Columbia, SC is $105,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $112,300.00 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 Columbia, SC?

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

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Columbia, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $105,920 per year, or $50.9 per hour.

Principal Azure Cloud and Integration Architecture : Columbia SC

Software People, Inc.

Columbia, SC • Remote

Contractor

Re-posted 2 days ago

Job description

Please Let me know your Interest and rate for this position.

Phone/Skype Hire or in person if local.

Remote, with on-site attendance at the offices in Columbia, SC as required by project needs. The consultant should anticipate being on-site approximately 2-4 business days per month, or more frequently as directed by the leadership.

Location: Columbia SC

Duration: 12+ months

Requires a Principal Azure Cloud and Integration Architecture with extensive experience designing, implementing, and governing enterprise-scale cloud solutions. This resource will provide senior-level architecture leadership for modernization initiatives, including the development of a cloud-native integration platform supporting integrations between statewide agencies,  and enterprise business applications.

The consultant will provide technical architecture expertise across Azure cloud services, enterprise integration patterns, API management, data platforms, DevOps practices, and cloud governance. This role will work closely with enterprise architects, application teams, infrastructure teams, cybersecurity, vendors, and business stakeholders to ensure solutions are scalable, secure, maintainable, and aligned with enterprise technology strategy.

Responsibilities

•             Lead the architecture, design, and implementation of a modern Azure cloud-native integration platform supporting statewide agencies, SCEIS, and enterprise HR and ERP systems.

•             Establish scalable integration patterns using APIs, event-driven architecture, asynchronous messaging, and cloud-native Azure services.

•             Design and guide implementation of a statewide Azure data lake and supporting data engineering capabilities.

•             Provide technical leadership for DevOps, GitOps, CI/CD, security, observability, and operational readiness.

•             Define architecture standards, technical patterns, and governance practices that support secure, reliable, and maintainable enterprise solutions.

•             Mentor developers, engineers, and architects while supporting knowledge transfer and long-term internal capability development.

Skills Needed

  • Minimum of 10 years of experience designing, developing and implementing enterprise technology solutions.
  • Minimum of 7 years of experience designing and implementing cloud solutions and cloud-native architectures using Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), or comparable enterprise cloud platforms.
  • Demonstrated experience designing enterprise integration solutions utilizing REST APIs, event-driven architecture, asynchronous messaging, and distributed systems.
  • Experience designing and implementing enterprise data platforms using cloud-based data lake, analytics, or data engineering technologies.
  • Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, DevOps practices, and development automation using tools such as Terraform, Bicep, ARM templates, or equivalent technologies.
  • Strong understanding of cloud security, identity and access management, scalability, performance optimization, monitoring, and operational support.
  • Experience establishing cloud architecture standards, technical design pattern, governance practices, and solution documentation.          
  • Experience integrating SAP, SAP S/4HANA, ERP platforms, HR systems, or enterprise financial applications.
  • Experience supporting large-scale government, public-sector, or highly regulated technology environments.
  • Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or other ERP systems.
  • Experience establishing enterprise architecture standards, cloud governance practices, and technical design patterns.
  • Microsoft Azure, TOGAF, or comparable cloud and enterprise architecture certifications.

Required Education:

Bachelor’s degree in Computer Science, Information Technology, Engineering Data Science, or a related technical field. An equivalent combination or relevant education, professional certifications, and progressively responsible experience may be considered in lieu of the degree requirement.       Required / Preferred Certifications:

Preferred:

•             Azure Solutions Architect Expert

•             Azure Developer Associate

•             Azure Data Engineer Associate

•             TOGAF or equivalent Enterprise Architecture certification