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Data Engineer Data Analyst Jobs in Irmo, SC (NOW HIRING)

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Facilitates consistent business analysis, data acquisition and access analysis and design, Database ... Sql Databases, .Net Programming, Nintex Workflow Designer Additional Information All your ...

NGA AI Engineer Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Analysis Tutor

Columbia, SC · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

AWS Data Scientist

Columbia, SC · On-site

$103K - $128K/yr

Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability * Utilize AWS analytics services Athena Redshift Quick Sight EMR for advanced reporting and ...

AWS Data Scientist

Columbia, SC · On-site

$103K - $128K/yr

Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability * Utilize AWS analytics services Athena Redshift Quick Sight EMR for advanced reporting and ...

Showing results 41-60

Data Engineer Data Analyst information

See Irmo, SC salary details

$27.8K

$67.5K

$111.1K

How much do data engineer data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer data analyst in Irmo, SC is $67,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $79,200.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Irmo, SC look for? The top searched job categories for Data Engineer Data Analyst jobs in Irmo, SC are:
What cities near Irmo, SC are hiring for Data Engineer Data Analyst jobs? Cities near Irmo, SC with the most Data Engineer Data Analyst job openings:

SAP Developer/Global Support Manager - Cloud and Data Engineering Architect

Datasoft Technologies, Inc.

Columbia, SC • On-site

$53 - $67.50/hr

Other

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago


Job description

SAP Developer/Global Support Manager - Cloud and Data Engineering Architect
Job Id# 13087

Location: Columbia, SC (Primarily Remote – Must attend onsite meetings 2–4 days/month or as required)
Work Address: DEA, 301 Gervais Street, Columbia, SC 29201
Interview: Virtual (Local candidates may be asked to interview in person)
Duration: Long-Term Contract
Openings: 1
Project Overview
The Division of Enterprise Applications (DEA) is seeking a Principal Cloud and Data Engineering Architect Consultant to lead the architecture, design, and implementation of enterprise-scale Azure cloud solutions. This role will drive DEA''s cloud modernization initiatives by developing a cloud-native integration platform that supports statewide agencies, CLIENT, and enterprise HR/ERP systems.
The consultant will provide technical leadership across Azure cloud services, enterprise integration, API management, data engineering, DevOps, cloud governance, security, and enterprise architecture.
Key Responsibilities
  • Lead the architecture, design, and implementation of enterprise Azure cloud solutions.
  • Design scalable cloud-native integration platforms using REST APIs, event-driven architecture, asynchronous messaging, and Azure services.
  • Architect and guide implementation of Azure Data Lake and enterprise data engineering solutions.
  • Provide technical leadership for DevOps, GitOps, CI/CD, Infrastructure-as-Code (IaC), security, monitoring, and operational readiness.
  • Develop architecture standards, governance frameworks, technical documentation, and best practices.
  • Collaborate with enterprise architects, infrastructure, cybersecurity teams, vendors, developers, and business stakeholders.
  • Mentor technical teams and promote cloud engineering best practices.
Required Qualifications
  • Bachelor''s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field (or equivalent combination of education, certifications, and experience).
  • 10+ years designing, developing, and implementing enterprise technology solutions.
  • 7+ years designing and implementing cloud-native solutions using Microsoft Azure (AWS/Google Cloud Platform experience also considered).
  • Strong experience with:
    • Azure Cloud Architecture
    • Enterprise Integration
    • REST APIs
    • Event-Driven Architecture
    • Asynchronous Messaging
    • Distributed Systems
    • Azure Data Lake / Data Engineering
    • Cloud Governance
    • Enterprise Architecture
    • DevOps, GitOps, CI/CD
    • Infrastructure-as-Code (Terraform, Bicep, ARM Templates)
    • Cloud Security, Identity & Access Management
    • Performance Optimization & Monitoring
Preferred Qualifications
  • Experience integrating SAP, SAP S/4HANA, ERP, HR, or Financial Systems.
  • Experience with Azure API Management, Azure Functions, Logic Apps, Event Grid, Ivalua, or similar enterprise platforms.
  • Experience supporting government, public-sector, or highly regulated environments.
  • Experience establishing enterprise architecture standards and cloud governance.
Preferred Certifications
  • Microsoft Azure Solutions Architect Expert
  • Azure Developer Associate
  • Azure Data Engineer Associate
  • TOGAF (or equivalent Enterprise Architecture Certification)
Work Schedule
  • Primarily Remote
  • Onsite attendance at DEA offices in Columbia, SC approximately 2–4 business days per month, or more frequently as required by project needs.
  • VPN and State-issued equipment will be provided.
Background Requirements
All candidates must successfully complete required background screenings, including:
  • 7-Year Standard Background Check
  • Credit History
  • Driving Record (MVR)
  • E-Verify
  • SLED Check
  • CJIS Certification (processed by the client, if required)
This is an excellent opportunity for a senior cloud architect to lead enterprise Azure modernization initiatives, shape statewide cloud integration strategies, and mentor technical teams while delivering scalable, secure, and high-impact cloud solutions.
About our Company
DataSoft Technologies is a highly recognized provider of professional IT Consulting services in the US. Founded in 1994, DataSoft Technologies, Inc. provides staff augmentation services for Information Technology and Automotive Services. Our team member benefits include:
Paid Holidays/Paid Time Off (PTO)
Medical/Dental Insurance Group
Accident/Critical Illness Insurance
Life Insurance
401 (K)