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

Mondo

Sr. Servicenow Engineer

Charlotte, NC · Remote

$50 - $53/hr

Background in a complementary technical discipline, such as data engineering, business analysis, or data analytics, prior to specializing in ServiceNow. Python or similar scripting language ...

shutterfly

Sr. Manufacturing Engineer I

Fort Mill, SC · On-site

$80K - $109K/yr

The Senior Manufacturing Engineer serves as the subject matter expert on digital press equipment ... data to identify trends and opportunities for improvement. • Lead initiatives to improve KPI ...

LPL Financial LLC

Sr. AI Security Engineer

Fort Mill, SC · On-site

$101 - $168/hr

Work cross functionally with data, engineering, and compliance teams to ensure responsible and secure AI adoption. What we are looking for We want strong collaborators who can deliver a world-class ...

PB consulting

Senior Hadoop Developer

Weddington, NC · On-site

Strong knowledge of data ingestion, ETL processes, data validation, and troubleshooting ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

PB consulting

Senior Hadoop Developer

Fort Mill, SC · On-site

Strong knowledge of data ingestion, ETL processes, data validation, and troubleshooting ... Collaborate with application, data engineering, and platform teams during incident, problem, and ...

PB consulting

Senior MongoDB Developer

Fort Mill, SC · On-site

Job Summary We are seeking an experienced Senior MongoDB Developer with expertise in MongoDB, NoSQL ... scale data platforms. Required Technical/Functional Skills *Minimum 10 years of experience in ...

PB consulting

Senior MongoDB Developer

Weddington, NC · On-site

Job Summary We are seeking an experienced Senior MongoDB Developer with expertise in MongoDB, NoSQL ... scale data platforms. Required Technical/Functional Skills *Minimum 10 years of experience in ...

PB consulting

Senior MongoDB Developer

Indian Trail, NC · On-site

Job Summary We are seeking an experienced Senior MongoDB Developer with expertise in MongoDB, NoSQL ... scale data platforms. Required Technical/Functional Skills *Minimum 10 years of experience in ...

SwiftCruit

Sr. AI Security Engineer

Fort Mill, SC · On-site

$101 - $168/hr

Work cross functionally with data, engineering, and compliance teams to ensure responsible and secure AI adoption. What are we looking for? We want strong collaborators who can deliver a world-class ...

LPL Financial

Sr. AI Security Engineer

Fort Mill, SC · On-site

$100K - $167K/yr

Work cross functionally with data, engineering, and compliance teams to ensure responsible and secure AI adoption. What are we looking for? We want strong collaborators who can deliver a world-class ...

LPL Financial

Sr. AI Security Engineer

Fort Mill, SC · Hybrid

$100K - $167K/yr

Work cross functionally with data, engineering, and compliance teams to ensure responsible and secure AI adoption. What are we looking for? We wantstrong collaborators who can deliver a world-class ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Lancaster, SC

Senior Data Engineer information

See Lancaster, SC salary details

$69.1K

$107.7K

$149.3K

How much do senior data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior data engineer in Lancaster, SC is $107,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $122,800.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Lancaster, SC as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $107,741 per year, or $51.8 per hour.

Sr. Servicenow Engineer

Mondo

Charlotte, NC • Remote

$50 - $53/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Job description

Job Title: ServiceNow Engineer Location-Type: Remote Start Date: ASAP Duration: Contract-to-Hire, 6-12 months Compensation Range: $50-53/hr W2 (140K Conversion Salary) Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: This role is responsible for hands-on delivery of ServiceNow solutions, including module implementation, workflow development, and third-party integrations, in close partnership with an implementation partner and internal stakeholders. Job Summary Implement and configure ServiceNow modules from the ground up, following a 2-3 year enhancement roadmap. Build and maintain integrations between ServiceNow and third-party systems or ERP platforms. Develop and optimize workflow engine configurations to support business process requirements. Partner with an external implementation partner during onboarding, contributing to co-development efforts. Collaborate with business stakeholders to translate non-technical requirements into buildable solutions. Provide production support, including bug resolution and iterative enhancements. Work as part of a small, tight-knit engineering team in a collaborative and autonomous capacity. Minimum Requirements: 5 years of hands-on ServiceNow experience with demonstrated ground-up implementation ownership. Proven experience building integrations between ServiceNow and third-party systems or ERP platforms. Strong configuration experience within the ServiceNow platform. Experience working directly with the ServiceNow workflow engine. Ability to communicate technical concepts clearly to non-technical business stakeholders. Self-directed, proactive, and capable of operating with a high degree of autonomy. Preferred Qualifications: Experience with ServiceNow Source-to-Pay module. Scripting experience within ServiceNow. Background in a complementary technical discipline, such as data engineering, business analysis, or data analytics, prior to specializing in ServiceNow. Python or similar scripting language proficiency.