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

Redolent, Inc.

Big Data Engineer (Cloudera)

Charlotte, NC · On-site

$54.50 - $72/hr

GenAI Exp (will be working between two teams and one is the Gen AI) "Senior Data Engineer / Big Data Developer with 6-10+ years of experience, strong Python, SQL, PySpark, Hive, Impala, Cloudera and ...

1 point system

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... guidance of senior engineers and architects. * Cloud Data Storage and Data Engineering Subject Matter Expert with experience designing secure, scalable, high-performance cloud data platforms.

The Hartford

Sr AI Data Engineer

Charlotte, NC

$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 ...

The Hartford

Sr AI Data Engineer

Charlotte, NC · On-site

$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 ...

The Hartford

Lead Data Engineer - Hybrid

Charlotte, NC · 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 ...

The Hartford

Lead Data Engineer - Hybrid

Charlotte, NC · 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 ...

Pwc

Data Engineer - Senior Manager

Charlotte, NC

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Participate in data integration, migration, and modernization initiatives under the guidance of senior engineers. * Develop and maintain scripts, queries, and applications using technologies such as ...

Tror AI for everyone

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Role : Data Engineer Location : Charlotte, NC; Oakland, CA or Mountain View, CA (100% Onsite ... Lead / Senior level (8-10 years) Focus: Credit Ecosystem stability: Reducing CE Services footprint ...

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Showing results 41-60

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 Sep 3, 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 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 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: Real-Time Pipelines on AWS

eOne Infotech

Fort Mill, SC • On-site

$90 - $120/hr

Other

Posted 2 days ago

New

Job description

We are seeking a Mid–Senior Data Engineer with strong expertise in AWS-based data engineering, real-time streaming technologies, and enterprise-grade data quality frameworks. The ideal candidate will design, build, and optimize scalable batch and streaming data pipelines, implement robust data validation and monitoring processes, and support mission-critical analytics platforms.

Key Responsibilities:
  • Develop and maintain scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python
  • Design and manage real-time streaming solutions using Kafka, KSQL, and Apache Flink
  • Implement and enforce comprehensive data quality frameworks, including validation, profiling, monitoring, and reconciliation
  • Optimize data processing performance, scalability, reliability, and cost in cloud environments
  • Collaborate with cross-functional teams to deliver reliable, production-grade data platforms and ensure data integrity across the pipeline
Required Skills:
  • Strong hands-on experience with Python and PySpark
  • Proven expertise in AWS Glue, Lambda, and other cloud-native data services
  • Solid experience with the Kafka ecosystem (topics, partitions, consumer groups, streaming patterns)
  • Demonstrated experience building and supporting data quality frameworks (validation rules, reconciliation checks, profiling, anomaly detection)
  • Strong understanding of distributed data processing and scalable architecture patterns
Good-to-Have Skills:
  • Experience with Apache Flink for real-time stream processing and stateful computations
  • Knowledge of KSQL or other streaming SQL engines
  • Exposure to CI/CD pipelines, IaC (Terraform/CloudFormation), and DevOps practices
  • Familiarity with data lake/lakehouse architectures and table formats such as Iceberg, Delta, or Hudi
  • Experience working in enterprise or financial data environments
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