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Data Engineer Contract Jobs in Sumter, SC (NOW HIRING)

Varsity Tutors

SQL Tutor

Columbia, SC · Remote

$18 - $40/hr

... data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar with SQL ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Sumter, SC

Data Engineer Contract information

See Sumter, SC salary details

$39.6K

$115.5K

$158.1K

How much do data engineer contract jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer contract in Sumter, SC is $115,522.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $122,500.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Sumter, SC?

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

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

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

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Sumter, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $115,522 per year, or $55.5 per hour.

AI Consultant - Contract - Columbia, SC

SUNSHINE ENTERPRISE USA LLC

Columbia, SC • Remote

Full-time

Posted 17 days ago

Job description

AI Consultant SME Location: Fully Remote with occasional onsite visits required. Interview Process: 1 round, Virtual/Online Duration: 12 Months Employment Type: Contract Experience Required: 05+ Years Candidate location: No South Carolina residency required. Open to nationwide candidates; must be able to work eastern time zone hours.

All travel-related costs for onsite work will be the responsibility of the resource, regardless of the frequency of onsite work. Project Scope: We are seeking an experienced AI Consultant SME to provide technical leadership in the evaluation, design, and responsible implementation of Artificial Intelligence solutions. The ideal candidate will support enterprise AI initiatives by assessing AI use cases, evaluating AI platforms and vendors, developing secure AI architectures, and implementing scalable AI solutions aligned with governance, security, and privacy standards.

Key Responsibilities: Support the development and implementation of enterprise AI strategies. Evaluate AI use cases, vendors, and platforms to ensure compliance with organizational standards. Promote standardized AI governance, processes, and best practices.

Design secure AI architectures and reusable technical patterns. Develop AI prototypes and conduct proof-of-concept (POC) and feasibility assessments. Design and implement AI agents and Retrieval-Augmented Generation (RAG) solutions.

Build dashboards and reports to monitor AI adoption, performance, costs, risks, and operational outcomes. Integrate AI capabilities with Azure and AWS cloud platforms. Provide technical guidance, documentation, and knowledge transfer to stakeholders.

Stay current with emerging AI technologies, tools, and industry best practices. Required Skills & Experience: 5+ years of overall IT experience. 1+ year of experience establishing proof-of-concept success criteria and evaluating AI solutions.

2+ years of hands-on experience with ChatGPT, Microsoft Copilot, and similar Generative AI platforms. 2+ years of experience designing and implementing AI agents and Retrieval-Augmented Generation (RAG) solutions. 1+ year of experience using AI-assisted coding tools for development, testing, debugging, and documentation.

1+ year of experience defining AI use case success criteria, KPIs, and production monitoring metrics. 1+ year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes. 1+ year of hands-on experience integrating AI capabilities with Azure and AWS.

Strong analytical, problem-solving, and communication skills. Preferred Skills: Experience with multiple programming languages and software development principles. Knowledge of Artificial Neural Networks (ANNs), Transformers, Natural Language Processing (NLP), image classification, and time-series analysis.

Experience with data storage, retrieval, and data cleansing techniques. Experience delivering complex enterprise AI projects. Education Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field (required).

Advanced degree is preferred.

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