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Data Engineer Jobs in Lancaster, SC (NOW HIRING)

1 point system

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

Sunbelt Rentals

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Collaborate with senior engineers, analysts, and data scientists to understand requirements and deliver data products * Participate in code reviews and contribute to team documentation and knowledge ...

Sunbelt Rentals

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Collaborate with senior engineers, analysts, and data scientists to understand requirements and deliver data products * Participate in code reviews and contribute to team documentation and knowledge ...

Techvilla Solutions

Lead Data Engineer

Indian Trail, NC · On-site

$94K - $124K/yr

We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP ...

Techvilla Solutions

Lead Data Engineer

Weddington, NC · On-site

$95K - $126K/yr

We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP ...

Techvilla Solutions

Lead Data Engineer

Fort Mill, SC

$90K - $118K/yr

We are seeking a Lead Data Engineer with strong experience in delivering enterprise-scale cloud data and analytics solutions. The ideal candidate will have expertise in Google Cloud Platform (GCP ...

Incedo Inc

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

Data Engineer AWS OpenSearch Location: Fort Mill, SC Hybrid Job Summary We are seeking an experienced Data Engineer with strong expertise in AWS OpenSearch to design, develop, and maintain scalable ...

GFR Technologies SE

Data Engineer

Mineral Springs, NC · On-site

$102K - $123K/yr

Buscamos un/a I ngeniero/a de Datos / Arquitecto/a Data con experiencia en diseno de pipelines, arquitecturas de datos escalables y gobierno del dato en entornos complejos. Tus principales ...

Sunbelt Rentals

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Define and enforce data engineering best practices, including pipeline design patterns, data quality frameworks, and schema governance * Architect and manage Delta Lake tables, including partitioning ...

Sunbelt Rentals

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Define and enforce data engineering best practices, including pipeline design patterns, data quality frameworks, and schema governance * Architect and manage Delta Lake tables, including partitioning ...

Euclid Innovations

Senior Data Engineer

Fort Mill, SC · On-site

$99K - $134K/yr

Euclid Innovations is seeking an experienced Data Engineer to design, build, and enhance data ingestion pipelines and metadata frameworks. The ideal candidate will work in a dynamic, cloud-centric ...

LPL Financial

Data Engineer II

Fort Mill, SC · On-site

$40.10 - $66.83/hr

Joining as a Data Engineer II, you will be responsible for building and maintaining the sustainable, scalable capabilities that support delivery of the highest standards of software products ...

GFR Technologies SE

IND_Data Engineer

Mineral Springs, NC · On-site

$102K - $123K/yr

Actualmente tenemos un puesto vacante para un/a Senior Data Engineer que quiera unirse a GFT. Buscamos una persona entusiasta y dinamica dispuesta a empezar y crecer en un entorno multicultural ...

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All JobsData Engineer JobsData Engineer Jobs in Lancaster, SC

Data Engineer information

See Lancaster, SC salary details

$38K

$110.6K

$151.4K

How much do data engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for data engineer 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 is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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 jobs in Lancaster, SC?

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Lancaster, SC as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $110,630 per year, or $53.2 per hour.

Data Engineer

Rock Hill, SC • Remote

1 point system
51 - 200 employees
Learn more about 1 point systemexternal

$117K - $140K/yr

Contractor

Re-posted 2 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.