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Senior Data Engineer Jobs in Boiling Springs, SC

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 ...

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

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Senior Automation Engineer

Greer, SC · On-site

$100K - $131K/yr

The Senior Automation Engineer will design, specify, and integrate automation, controls, and data systems that move the client from manual or semi-automated operations into a connected, instrumented ...

Actively collaborate with developers and other project resources * Questions existing processes and ... senior management about data warehousing/business intelligence technology in business terms ...

... Data Center Field Engineer / Project Engineer to support hyperscale data center construction ... Support Site Project Managers and Senior Project Managers by bridging technical and administrative ...

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Senior Data Engineer information

See Boiling Springs, SC salary details

$71K

$110.7K

$153.3K

How much do senior data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for senior data engineer in Boiling Springs, SC is $110,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $126,200.00 per year, depending on experience, location, and employer.

What are Senior Data Engineers?

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.

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 the most commonly searched types of Data Engineer jobs in Boiling Springs, SC? The most popular types of Data Engineer jobs in Boiling Springs, SC are:
What cities near Boiling Springs, SC are hiring for Senior Data Engineer jobs? Cities near Boiling Springs, SC with the most Senior Data Engineer job openings:
Infographic showing various Senior Data Engineer job openings in Boiling Springs, SC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $110,688 per year, or $53.2 per hour.
Remote Data Engineer I

$111K - $134K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Spartanburg Regional Healthcare System rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

532nd of 890 rated healthcare providers


Job description

Job Requirements

Build the Foundation for Data Driven Healthcare and Join Us as Our Next Remote Data Engineer I!

Location: 100% Remote | Applicants must reside in one of the following states: AL, AZ, CT, DE, FL, GA, IN, KS, KY, LA, MD, MI, NC, PA, RI, SC, VA, WV, or WI.

Why Choose Spartanburg Regional Healthcare System

Spartanburg Regional Healthcare System is a forward thinking, community focused healthcare organization that has served the Upstate for more than 100 years. SRHS is committed to leveraging data, analytics, and emerging technologies to improve patient outcomes, support clinical decision making, and advance innovation across the enterprise.

Team members at SRHS work in a collaborative environment that values learning, growth, and continuous improvement. Our data and analytics teams play a critical role in delivering trusted data that supports both business intelligence and advanced AI driven solutions.

Step Into a Role That Builds Trusted Data at Scale

Remote Data Engineer I

The Remote Data Engineer I supports the implementation and maintenance of data pipelines and curated datasets that ensure data quality, consistency, and readiness for analytics and AI use cases. This role focuses on foundational data engineering activities, assisting with preparation, validation, and documentation of data so it is accurate, secure, and accessible for self-service reporting and advanced analytics.

Working under the guidance of senior data engineers, this role develops skills in data curation, governance, and pipeline development while contributing to the delivery of reliable, optimized datasets that support both operational reporting and enterprise analytics initiatives. This is a fully remote position.

What You Bring to the Table

Educational Foundation

  • Bachelor's or Master's degree in Computer Science, Mathematics, or Information Systems

Professional Experience

  • Minimum of 5 years of Business Intelligence or comparable data engineering experience (healthcare experience preferred)
  • Strong communication and analytical skills
  • Proficiency with Microsoft BI tools, T SQL, ETL processes, data modeling, and data visualization
  • Strong understanding of SQL and relational database concepts
  • Familiarity with Epic applications and Epic database structures

Licenses and Certifications

  • Relevant Epic Data Model or Microsoft development certifications preferred
  • Certifications may include but are not limited to:
  • Epic Radar, Reporting Workbench Administration, Clarity Data, Caboodle, Slicer Dicer
  • Epic Revenue Cycle, Shared Clinical, Grand Central, and related specialties
  • AI development including machine learning and analytics platforms
  • Microsoft Fabric development including Data Warehouse, Lakehouse, and ETL tools
  • Microsoft SQL certifications

What You Will Learn and Deliver

  • Assists with build and refresh activities using approved data architecture designs
  • Supports data ingestion and ETL processes including basic troubleshooting and data quality validation
  • Collaborates with engineers and developers to learn enterprise data standards and development patterns
  • Ensures compliance with data governance, security, performance, and privacy standards
  • Executes assigned project requests exceeding 40 hours under supervision
  • Contributes to continuous improvement of data reliability and usability
  • Performs additional duties as assigned

Technologies and Work Areas You Will Support

  • Azure Databricks
  • Epic Caboodle development internal and external
  • Cogito Extract Scheduler
  • Cogito Reporting Workbench SQL
  • Cogito SQL Metrics
  • Copilot Studio agent development and management
  • Data agent development and management
  • Epic claims ingestion workflows
  • Microsoft Fabric Data Warehouse, Lakehouse, and ETL development
  • Power Platform applications
  • Power BI semantic model development and management
  • Slicer Dicer data model development and management
  • Other assigned or extended project requests

Take the Next Step

If you are ready to grow your data engineering skills, support meaningful analytics initiatives, and contribute to trusted data solutions that power healthcare innovation, we encourage you to apply today. Join Spartanburg Regional Healthcare System and help build the data foundation that supports smarter decisions and better patient care.


Employment Type: FULL_TIME

What Spartanburg Regional Healthcare System employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Spartanburg Regional Healthcare System

Sourced by ZipRecruiter

Spartanburg Regional Healthcare System is a leader in the healthcare industry, located in Spartanburg, SC, US. As a comprehensive health system, it offers services encompassing everything from wellness, prevention, and care coordination to specific medical treatments for a wide range of diseases and health issues. Spartanburg Regional Healthcare System was founded in 1921 and has since developed a reputation for excellence and innovative care, growing to include six hospitals, 100 medical offices, 8,000 associates and more than 900 medical staff.

Industry

Recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Spartanburg, SC, US

Year founded

1921