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

Senior Data Engineer

Charlotte, NC ยท On-site

$103K - $140K/yr

Senior Data Engineer Location: Charlotte, NC Job Type: Long-Term Contract Top Skills: Python | SQL | AWS/Azure | Databricks | Spark/PySpark | ETL/ELT | Data Pipelines We are seeking a Senior Data ...

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Senior Data Engineer

Charlotte, NC ยท On-site

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer

Charlotte, NC ยท On-site

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data ...

Senior Data Engineer

Charlotte, NC ยท On-site

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data ...

Senior Data Engineer

Charlotte, NC

$103K - $140K/yr

Senior Data Engineer - Data Architecture & Platform CPI Security, a national leader in residential and commercial security solutions, is seeking a Senior Data Engineer transitioning into Data ...

Sr. Data Engineer

Charlotte, NC ยท 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 ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

Google Senior Data Engineer

Charlotte, NC ยท On-site

$94K - $266K/yr

The Work (What You Will Do) As a GCP Senior Data Engineer, you will help deliver data modernization, analytics, and AI solutions on GCP. You will support architecture design, build data pipelines and ...

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Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions. The ideal candidate will have hands-on experience ...

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Sr. Data Engineer - Hybrid

Charlotte, NC ยท Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Senior Data Engineer

Charlotte, NC ยท On-site

$139K - $174K/yr

Hybrid 3 days (office locations are New York City, Denver, and Charlotte) Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You ...

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Senior Data Engineer

Charlotte, NC ยท On-site

$139K - $174K/yr

Hybrid 3 days (office locations are New York City, Denver, and Charlotte) Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You ...

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AWS Data Engineer(12+ Years)

Charlotte, NC ยท On-site

$111K - $134K/yr

Job Title: Sr.Data Engineer AWS & Streaming Location: Fort Mill SC or New York, NY (2-3 Days Hybrid) Experience level 10- 15 Years Role Summary: We are seeking a Mid Senior Data Engineer with strong ...

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Showing results 1-20

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:

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

Kanshe Infotech

Charlotte, NC โ€ข On-site

$103K - $140K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Title: Senior Data Engineer
Location: Charlotte, NC
Job Type: Long-Term Contract
 
Top Skills:
Python | SQL | AWS/Azure | Databricks | Spark/PySpark | ETL/ELT | Data Pipelines


Job Description:

We are seeking a Senior Data Engineer to design, develop, and maintain scalable enterprise data pipelines and analytics solutions.

The ideal candidate will have strong hands-on experience with Python, SQL, cloud platforms, Databricks, and Spark and be comfortable working in large-scale data environments.


Required Skills:

  • 7+ years of Data Engineering experience.
  • Strong Python and advanced SQL skills.
  • Hands-on experience with Databricks and Spark/PySpark.
  • Experience building enterprise ETL/ELT pipelines.
  • Strong experience with AWS or Azure.
  • Experience with data modeling, data integration, and data quality.
  • Experience with Git and CI/CD practices.

Preferred Skills:

  • Experience with Snowflake, Kafka, Airflow, or dbt.
  • Experience with real-time/streaming data pipelines.
  • Strong communication and problem-solving skills.