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

Wells Fargo

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Wells Fargo is seeking a Senior Data Engineer within the Commercial & Corporate & Investment Banking Technology (CCIBT) organization. The role resides in the Enterprise Counterparty Risk Technology ...

1 point system

Sr. Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Historical data retention strategies * Cloud-based data movement * Ideally someone with 8+ years of experience in a large enterprise environment since they are the go to person for data engineering

Randstad Digital

Senior Data Engineer

Charlotte, NC · On-site

$60 - $68/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are seeking a highly skilled Data Engineer with strong experience in AWS-based data pipelines and modern data engineering practices. The ideal candidate will be hands-on with Python/PySpark ...

New

Randstad Digital

Sr Data Engineer

Charlotte, NC · On-site

$51.60 - $61.60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Required Qualifications Computer Science/Software Engineering (or related) degree 4+ years' experience with end-to-end application development on Teradata data-warehouse and analytical platforms 2+ ...

New

Sabio infotech

AWS Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Job Title: Sr.Data Engineer- AWS & Streaming Location: Fort Mill SC (OR) Charlotte, NC (OR) New York, NY (2-3 Days Hybrid) Experience level - 12+ Years Key Responsibilities: * Develop and maintain ...

TEKsystems

Sr. Data Engineer

Charlotte, NC

$65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Key Responsibilities • Lead and mentor Oracle developers while providing technical guidance and best practices for data integration and ETL development. • Design, build, and support ...

TEKsystems

Sr. Data Engineer

Charlotte, NC

$65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Key Responsibilities • Lead and mentor Oracle developers while providing technical guidance and best practices for data integration and ETL development. • Design, build, and support ...

Pacific Life Insurance Company

Data Engineer II

Charlotte, NC · On-site

$111K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with senior data engineers, architects, and business partners to understand data requirements, analyze solutions, and deliver reliable customer data assets. * Utilize approved AI-assisted ...

Pacificlife

Data Engineer II

Charlotte, NC

$111K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with senior data engineers, architects, and business partners to understand data requirements, analyze solutions, and deliver reliable customer data assets. * Utilize approved AI-assisted ...

Pacific Life Insurance Company

Sr Data Analyst

Charlotte, NC · On-site

$84K - $106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Sr Data Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework ...

Pacificlife

Sr Data Analyst

Charlotte, NC

$84K - $106K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Sr Data Analyst role is a strong functional and Engineering/technical and analytics-focused role responsible for building and operationalizing scalable data quality and observability framework ...

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Showing results 21-40

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

Senior Data Engineer information

See York, SC salary details

$75.1K

$117.1K

$162.3K

How much do senior data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data engineer in York, SC is $117,144.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $133,500.00 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 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 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.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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 are popular job titles related to Senior Data Engineer jobs in York, SC?

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

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

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

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in York, SC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $117,144 per year, or $56.3 per hour.

Senior Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • On-site

$103K - $140K/yr

Full-time

Re-posted 13 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: Expertise
  • Extensive experience on Cloud solutions, preferably 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 designing and architecting distributed systems, containerization, Web API's and gateway management.Experience with the DevOps lifecycle (git, Jenkins, etc.)
  • 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.
  • Provide technical guidance on technology implementation and architectural changes.
  • Coordinating with platform, APIM, Azure DevOps, and Support.Develop, test, and modify software to improve efficiency of data platforms and applications.
  • Ability to own projects from end to end, working with business stakeholders, IT teams, data stewards, and 3rd party companies to ensure accurate and insightful outcomes.
  • 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
7+ years of software development experience in enterprise applications, preferably in the financial services industry and on data-heavy systemsBachelor's or master's degree in computer science or information systems preferred.
Additional Requirements
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 accommodations@smbcgroup.com.

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