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

DP Professionals Inc

Support Desk Data Analyst

Columbia, SC · On-site

$16.75 - $22.75/hr

DPP is seeking a Support Desk Data Analyst to provide engineering and steady state technical services to 94 distributed US attorney''s offices. Location : Onsite for training; transition to hybrid in ...

Td

Data Scientist - FCRM

Lexington, SC · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Pwc

AI & GenAI Data Scientist-Director

Columbia, SC

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Credence

Data Scientist- AFCENT

Sumter, SC · On-site

$120 - $180/hr

... analysis, threat profiling and data mining. Help optimize and tune data pipelines for performance and reliability. * Stay up to date with emerging data engineering technologies and best practices to ...

VIVA USA INC

Cloud and Data Engineering Architect

Columbia, SC · On-site

$60.25 - $76.50/hr

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 ...

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Showing results 21-40

All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Columbia, SC

Data Engineer Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

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

As of Aug 9, 2026, the average yearly pay for data engineer data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 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 are popular job titles related to Data Engineer Data Analyst jobs in Columbia, SC? For Data Engineer Data Analyst jobs in Columbia, SC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Columbia, SC look for? The top searched job categories for Data Engineer Data Analyst jobs in Columbia, SC are:
What cities near Columbia, SC are hiring for Data Engineer Data Analyst jobs? Cities near Columbia, SC with the most Data Engineer Data Analyst job openings:
Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Columbia, SC as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 77% In-person, 9% Hybrid, and 14% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.

Support Desk Data Analyst

DP Professionals Inc

Columbia, SC • On-site

$16.75 - $22.75/hr

Other

Posted 16 days ago

Job description

DPP is seeking a Support Desk Data Analyst to provide engineering and steady state technical services to 94 distributed US attorney''s offices. 
 
Location: Onsite for training; transition to hybrid in Columbia, SC
Duration: 2+ months
Term: W2 contract
Work Authorization: ; must be able to obtain/maintain Top Secret Security Clearance
 
Position summary:
  • The Support Desk Data Analyst will analyze service desk performance and operational data to identify trends and opportunities for improvement.
  • Support quality assurance initiatives by ensuring processes and deliverables meet established standards.
  • Develop reports and provide data-driven insights to support operational decision-making.
  • Collaborate with technical teams to improve service quality, efficiency, and customer satisfaction.
  • Recommend process improvements that enhance performance and streamline operations.
  • Contribute to a high performing support environment through analytical problem solving and continuous improvement efforts.
Responsibilities:
  • Perform validation of the service desk to include services, processes, metrics, and customer satisfaction based on business requirements.
  • Communicate with analysts and engineers about formal evaluation plans, problems, and results.
  • Devise creative solutions to problems.
  • Assist with roll-out of systems documentation.
  • Produce lists of service deficiencies that are to be resolved and provides recommendations to incorporate changes to established processes.
  • Generate and interpret complex reports on both current and historical data.
  • Perform technical evaluations on assigned personnel.
  • Develop standards, methods, and procedures to improve product and service quality, readiness, and availability.
  • Identify, diagnose and develop plans to resolve problems in response to customer reported incidents; research, evaluate and provide feedback on problematic trends and patterns across the environment and develops and implement measures to remediate.
  • Collaborate with Support teams to foster a team-based approach to high quality solutions and drive appropriate changes to ensure high quality deliverables.
Required skills, knowledge, and abilities:
  • Experience with data analysis methods, principles, and practices, including statistical analysis and sampling techniques.
  • Experience with inspection, test, and measurement techniques.
  • Knowledge of the relationship of quality assurance to other activities across the organization.
  • Skill in interpreting and applying product specifications, regulations, and policy guidance into the quality assurance plan.
  • Skill in conducting studies and investigations, problem and trend analysis, and developing documented recommendations.
  • Strong oral and written communication.
  • Experience with technical evaluation processes, techniques, and reporting.
  • Able to validate data quality and consistency of customer data.
  • Able to review, analyze, and report on quality discrepancies, trends, and data.
  • Able to investigate problems and develop disposition and corrective actions for recurring discrepancies.
  • Able to interface with stakeholders to ensure requirements are met.
  • Able to recommend corrective actions, dispositions, process optimization and modifications.
  • Able to handle multiple project deadlines with minimal supervision.
Minimum required work experience & knowledge:
  • 2-4 years of experience in a technical support position
  • Must be able to write T-SQL queries (simple/intermediate/complex) against various Microsoft databases and Data Warehouse databases.
  • 1–2 years of demonstrated experience with relational database queries and transactions, including stored procedures using SQL Server 2019 databases.
  • Demonstrated experience designing, creating, testing, and implementing simple/complex reports using SQL Server Reporting Services.
  • Candidates need quantitative, teamwork and problem-solving abilities, as well as a thorough knowledge of relational database theory and practice.
Preferred experience & certifications:
  • Information Technology Infrastructure Library V4 (ITIL 4) certification.
  • Support Desk experience either with reporting or as an analyst.
  • Previous experience with System Center Service Manager (SCSM).
  • Previous experience with Cireson Portal.
Interested? Learn more:
Click the apply button or contact Harrison at to learn more about this position (#26-00844).
Work Authorization: ; Must be able to obtain/maintain a Top Secret Security Clearance. EOE/AA/V/D
DPP offers a range of compensation and benefits packages to our employees and their eligible dependents. Call today to learn more about working with DPP.

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