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Data Engineer Jobs in Myrtle Beach, SC (NOW HIRING)

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...

Intern Engineer

Conway, SC · On-site

$15 - $18/hr

CRP Industries is excited to add an Intern Engineer to our team in Conway, SC. CRP is a family ... Perform data analysis, including but not limited to root cause failure analysis, and provide input ...

Description CRP Industries is excited to add an Intern Engineer to our team in Conway, SC. CRP is a ... Perform data analysis, including but not limited to root cause failure analysis, and provide input ...

Highly dynamic, data-driven interfaces * Enterprise-scale... without enterprise-level red tape We ... Create component systems that non-developers can configure and use * Balance performance, usability ...

Highly dynamic, data-driven interfaces * Enterprise-scale... without enterprise-level red tape We ... Create component systems that non-developers can configure and use * Balance performance, usability ...

... data-driven interfaces that need thorough, thoughtful QA Enterprise-scale impact... without ... Jira, Azure DevOps, or similar Basic understanding of browser developer tools for frontend ...

Intern Engineer

Conway, SC · On-site

$15.50 - $20.25/hr

Job Type Internship Description CRP Industries is excited to add an Intern Engineer to our team in ... Perform data analysis, including but not limited to root cause failure analysis, and provide input ...

... data-driven interfaces that need thorough, thoughtful QA • Enterprise-scale impact... without ... Jira, Azure DevOps, or similar • Basic understanding of browser developer tools for frontend ...

Showing results 21-40

Data Engineer information

See Myrtle Beach, SC salary details

$40K

$116.7K

$159.7K

How much do data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer in Myrtle Beach, SC is $116,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $123,700.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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

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

What job categories do people searching Data Engineer jobs in Myrtle Beach, SC look for?

The top searched job categories for Data Engineer jobs in Myrtle Beach, SC are:

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

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

Infographic showing various Data Engineer job openings in Myrtle Beach, SC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $116,743 per year, or $56.1 per hour.

Data Analyst (On-site)

Palmetto Infusion

Pawleys Island, SC • On-site

Full-time

Re-posted 19 hours ago


Palmetto Infusion rating

5.5

Company rating: 5.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Palmetto Infusion provides comprehensive ambulatory and home-based infusion services to both acute and chronically ill patients. The Data Analyst is responsible for identifying, collecting, analyzing, and maintaining data to evaluate strategic business decisions, supporting projects and performance improvement initiatives across the organization.
Responsibilities:
• Develops and maintains custom data models, dashboards, and reports using Power BI and SharePoint.
• Applies knowledge of data, data structures and analytical tools to research, identify trends, expenditures, and utilization of resources.
• Extract and analyze data from various EMR, payor, and HR programs, including databases and spreadsheets to pull metrics on all aspects of Palmetto Infusions daily business processes.
• Identifies opportunities to create actionable data and reports.
• Evaluates current processes, reports, and functions and provides performance improvement initiatives.
• Provides periodic reports to internal and external parties in support of daily operations throughout the company.
• Collaborate with senior management to develop and analyze meaningful outcomes reporting to improve and innovate care.
• Creates summary reports of key performance improvement activities, outcomes, and trends for appropriate committees.
Qualifications:
Required:
• Bachelor’s Degree in appropriate field of study, Business Administration, Computer Science, Healthcare, Information Systems, or related
• 2+ years' experience in data analysis with proficiency in Microsoft tools and Power BI
• Proficient at partner programs (i.e.: MS Outlook, Word, Excel)
• Ability to cope with ambiguous, changing environment while under pressure in a calm manner
• Must be able to work as a team member and develop productive and cooperative working relationships with all members of the Palmetto Infusion team
Company:
As an ambulatory infusion company with an in-home care segment, Palmetto Infusion was among the first in the country to believe that what we had to offer to patients—it was unique, and it was life-altering. Founded in 1999, the company is headquartered in Pawleys Island, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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