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Data Engineer Jobs in York, SC (NOW HIRING)

Bespoke Labs

Data Engineer

Charlotte, NC · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Carolina IT Professionals, Inc

Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

Daily responsibilities Develop Spark/ BQ data pipelines in GCP DataProc Cluster Develop data models ... more programming language Scala/ Python Preferred Skills Exposure to building semantic layer in ...

Carolina IT Professionals, Inc

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Daily responsibilitiesDevelop Spark/ BQ data pipelines in GCP DataProc ClusterDevelop data models ... more programming language Scala/ PythonPreferred SkillsExposure to building semantic layer in ...

Conflux Systems

Big Data Engineer

Charlotte, NC · On-site

$55/hr

Big Data Engineer Location: Charlotte, NC (Hybrid) Client: Synechron / Wells Fargo EXP: 9+ Years Rate: $55/hr. on C2C Skills: Big Data, Hadoop, Python & Angular Job Summary We are seeking an ...

Guidehouse

Data Engineer Lead

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse is seeking a Data Engineer Lead to lead the design, development, and modernization of enterprise data platforms, analytics ecosystems, and cloud-native data solutions. This role serves as ...

New

PB consulting

Google Cloud Data Engineer

Indian Trail, NC · On-site

$105K - $127K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

LanceSoft, Inc.

Sr. Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

LanceSoft, Inc. is seeking a Sr Data Engineer to be a critical member of their data team. The role involves designing data integration solutions and developing data processing and manipulation ...

PB consulting

Google Cloud Data Engineer

Matthews, NC · On-site

$107K - $129K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Tega Cay, SC · On-site

$99K - $119K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Weddington, NC · On-site

$107K - $128K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Paw Creek, NC · On-site

$110K - $132K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Stallings, NC · On-site

$107K - $128K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Lake Wylie, SC · On-site

$109K - $131K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Fort Mill, SC · On-site

$100K - $120K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Cramerton, NC · On-site

$103K - $123K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Pineville, NC · On-site

$108K - $130K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

PB consulting

Google Cloud Data Engineer

Mount Holly, NC · On-site

$106K - $127K/yr

We are looking for a Google Cloud Data Engineer with 5+ years of experience in designing and developing cloud-native data solutions on Google Cloud Platform (GCP). The ideal candidate should have ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in York, SC

Data Engineer information

See York, SC salary details

$41.3K

$120.3K

$164.6K

How much do data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data engineer in York, SC is $120,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,500.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in York, SC?

The most popular types of Data Engineer jobs in York, SC are:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in York, SC as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,286 per year, or $57.8 per hour.

Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • On-site

$111K - $134K/yr

Other

Re-posted 12 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.
In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.
Role Description
We are currently seeking a talented and motivated Senior Data Engineer to join our Cloud data solutions team. This role will be responsible for designing, developing & deploying cloud data solutions for risk, regulatory, finance & compliance projects and be at the forefront of on-prem to cloud migration initiative. This role will require indirect leadership and mentorship of junior team members. Work with business teams, product managers, and other stakeholders to understand business requirements, needs, or process gaps that would be addressed via proposed applications. Engage with IT systems architects, database administrators, and cyber security team to meet the back-end functionality demands of the application. Liaise with other technology and development teams as needed to coordinate on the integration of applications with the larger company software ecosystem. Participate in periodic development meetings to align development priorities and objectives, assign tasks, and share experiences and challenges with applications under development.
Role Objectives: Delivery
  • Extensive experience on Cloud solutions, specifically in Azure
  • Experience with Azure cloud services, Azure Data Factory, Gen 2, Azure Databases, Functions, Databricks, etc
  • Strong knowledge of Python, Java or similar high-level server-side languages'
  • Advanced working SQL knowledge on relational databases, preferably on MS SQL Server and databases on Azure cloud
  • Experience with the DevOps lifecycle (git, Jenkins, etc.)
  • Experience with Jira/Confluence
  • Experience with REST web services and microservice architecture
  • Databricks Cluster configuration, Unity catalog repository configuration.
  • Build large-scale batch and real-time data pipelines with data processing frameworks in Azure cloud platform.
  • Partner with architects, engineers, information analysts, business, and technology stakeholders for developing and deploying enterprise grade platforms that enable data-driven solutions.
  • Coordinating with platform, APIM, Azure DevOps, and Support.
  • Analyze and design technical solutions on Azure to address business needs.
  • Develop, test, and modify software to improve efficiency of data platforms and applications.
  • Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
  • Enable streaming data use-cases and standard design patterns in a big data environment.
  • Review and provide feedback on core code changes and support production deployment.

Qualifications and Skills
  • Minimum 4 years of software development experience in enterprise applications, preferably in the financial services industry and on data-heavy systems
  • Bachelor's or master's degree in computer science or information systems preferred.

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at

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