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

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Data Architect Engineer Duration: 6 month contract (potential to extend or convert) Work Location: Charlotte, NC preferred. If remote, would need to come onsite once per month for 2 days once ...

Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

Data Architect Engineer Duration: 6 month contract (potential to extend or convert) Work Location: Charlotte, NC preferred. If remote, would need to come onsite once per month for 2 days once ...

ProSidian Seeks an Engineer (Contract Contingent) in Charlotte, NC / Remote to support an ... Compare observed health effects, injury and illness data, and industrial hygiene and safety ...

Contract Planning Engineer Position Description : Protingent Staffing has an exciting Contract ... data networks and monitoring and evaluating capacity utilization for these networks. * You will ...

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

... engineering teams. * Ensure alignment of data schemas, models, contracts, and templates from ingestion to the enterprise data model to systems of record domains to consumption layers. Align and ...

Contract-to-Hire, 6-12 months Compensation Range: $50-53/hr W2 (140K Conversion Salary) Benefits ... Background in a complementary technical discipline, such as data engineering, business analysis, or ...

Job Title Electrical Engineer Client Confidential Location Remote Type of Hire 6 months contract with possible extension Interview Process: 2 video Interviews DATA CENTER experience required ...

Requirement - Programming Engineer Location- USA Remote Contract W2 Assessment required Key ... SQL & Data Access • Write performant T-SQL queries, stored procedures, views, and functions ...

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Data Engineer Contract information

See Lancaster, SC salary details

$38K

$110.6K

$151.4K

How much do data engineer contract jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineer contract in Lancaster, SC is $110,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $117,300.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

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 is a Data Engineer Contract job?

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 most commonly searched types of Data Engineer jobs in Lancaster, SC? The most popular types of Data Engineer jobs in Lancaster, SC are:
What are popular job titles related to Data Engineer Contract jobs in Lancaster, SC? For Data Engineer Contract jobs in Lancaster, SC, the most frequently searched job titles are:
What cities near Lancaster, SC are hiring for Data Engineer Contract jobs? Cities near Lancaster, SC with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Lancaster, SC as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 22% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $110,630 per year, or $53.2 per hour.
Data Engineer

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Posted 3 days ago


Job description

Requirement - Data Engineer

Location- USA Remote

Contract W2

Assessment test required

Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J)

** Healthcare experience

** Medical & Pharmacy Claims experience

Responsibilities:

Create, maintain and execute complex SQL queries for data management and data validation.

Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

Monitor data workflows and ensure data quality, consistency, and reliability.

Design and implement scalable and secure data architectures to support new and existing applications.

Perform production solutions and services configurations as needed.

Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.

Create and maintain SOP documents.

Participate in code reviews, sprint planning, and architectural discussions.

Mentor junior engineers and promote best practices in data engineering.

Participate in meetings with clients and/or stakeholders.

Completes work as assigned.

Provide after-hours or weekend support as needed.

Demonstrate an ability to work independently.

Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Complete task assignments using department ticketing/productivity systems within assigned deadline.

Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

8+ years of experience in data engineering or a related role.

8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

8+ years hands-on work in SQL and/or PL/SQL.

Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high‑volume, low‑latency workloads.

Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.

Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

Flexible work schedule.

Experience with project management tools like JIRA.

Strong understanding of agile development practices, preferably SAFe.

Strong analytical skills.

Excellent verbal, listening and written communication skills.