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

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

... programming languages for data analysis * 5+ years of experience analyzing structured and ... as well as contract-specific affordability and organizational requirements. The projected ...

WAN Engineer

Sumter, SC · On-site

$90 - $120/hr

... DATA PRODUCTS GROUP, INC A great place to work. Are you ready for new challenges and new opportunities? Join our team! SMS is hiring a WAN Engineer to support our AFCENT contract located at Shaw AFB ...

Showing results 21-40

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 Sep 7, 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 are popular job titles related to Data Engineer Contract jobs in Sumter, SC?

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

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

The top searched job categories for Data Engineer Contract 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:

Infographic showing various Data Engineer Contract job openings in Sumter, SC as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $115,522 per year, or $55.5 per hour.

$99 - $225/hr

Other

Medical, Life, Retirement, PTO

Re-posted 3 days ago


Job description

Job Number: R0245391

The Opportunity:

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Work with us as we use data science for good.

Join us. The world can't wait.

You Have:

  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

  • 5+ years of experience with statistical and general-purpose programming languages for data analysis

  • 5+ years of experience analyzing structured and unstructured data sources

  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources

  • Experience leading the development of solutions to complex programs

  • Experience with natural language processing, text mining, or machine learning techniques

  • Secret clearance

  • Bachelor's degree

Nice If You Have:

  • Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL

  • Experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL

  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2

  • TS/SCI clearance with a polygraph

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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