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

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 ...

GFR Technologies SE

IND_Data Engineer

Mineral Springs, NC

$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 ...

LPL Financial

Senior Analyst, Data Science

Fort Mill, SC · On-site

$75K - $95K/yr

We are seeking a curious and analytically rigorous Senior Analyst, Data Science to design and build ... Work closely with data engineers, product managers, business stakeholders, and subject matter ...

LPL Financial

Senior Analyst, Data Science

Fort Mill, SC

$75K - $95K/yr

We are seeking a curious and analytically rigorous Senior Analyst, Data Science to design and build ... Work closely with data engineers, product managers, business stakeholders, and subject matter ...

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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 18, 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.

Senior AWS Data Engineer

Accord Technologies Inc.

Rock Hill, SC • On-site

$88K - $119K/yr

Contractor

Re-posted 29 days ago

Job description

Senior AWS Data Engineer
Fort Mills, SC (Hybrid 3 days a week )
Position type: W2 contract.
Job Summary:

Contribute to building state-of-the-art data platforms in AWS, leveraging Python and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. This role is ideal for an experienced data engineer looking to step into a leadership position while remaining hands-on with cutting-edge technologies. You will design, implement, and optimize ETL workflows using Python and Spark, contributing to our robust data Lakehouse architecture on AWS. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

Must Have Tech Skills:

  • Demonstrable experience as a senior data engineer.
  • Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
  • Experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena
  • Experience with data services in a Lakehouse architecture.
 

Key Accountabilities:

  • Provides guidance on best practices in design, development, and implementation, ensuring solutions meet business requirements and technical standards.
  • Works closely with architects, Product Owners, and Dev team members to decompose solutions into Epics, leading design and planning of these components.
  • Drive the migration of existing data processing workflows to the Lakehouse architecture, leveraging Iceberg capabilities.
  • Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.

Key Skills:

  • Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using AWS data services and Lakehouse capabilities.
  • Highly proficient in Python, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.
  • Skilled in decomposing solutions into components (Epics, stories) to streamline development.
  • Proficient in creating clear, comprehensive documentation. Ensures that documentation supports knowledge sharing and compliance, making it accessible and valuable for future reference
  • Proficient in quality assurance practices, including code reviews, automated testing, and best practices for data validation.
  • Experience in leveraging automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.

Educational Background:

  • Bachelor’s degree in computer science, Software Engineering, or related field essential.

Must have:

  • Financial Services expertise, working with Equity and Fixed Income asset classes and a working knowledge of Indices.

 Nice To Have Tech Skills:

  • Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements 
  • A master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous