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

SQL Database Developer - State of South carolina-Department of transporatation-SCDOT Only W2(Green ... SECONDARY FOCUS WILL BE ESTABLISHING THE FOUNDATION FOR A DATA WAREHOUSE. POSITION IS ONSITE. DAILY ...

SECONDARY FOCUS WILL BE ESTABLISHING THE FOUNDATION FOR A DATA WAREHOUSE. POSITION IS ONSITE. DAILY ... PROVEN SKILLS AS A DATABASE DEVELOPER KNOWLEDGE OF SOFTWARE DEVELOPMENT HANDS ON EXPERIENCE WITH ...

Civil Project Manager

Myrtle Beach, SC ยท On-site

$95K - $130K/yr

... data into cohesive site solutions. Required Qualifications * Education: Bachelor's degree in Civil Engineering from an ABET-accredited institution. * Experience: 5+ years of progressive experience in ...

Civil Project Manager

Myrtle Beach, SC ยท On-site

$76K - $102K/yr

... data into cohesive site solutions. Required Qualifications * Education: Bachelor's degree in Civil Engineering from an ABET-accredited institution. * Experience: 5+ years of progressive experience in ...

Engineering Technician I

Myrtle Beach, SC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

Engineering Technician I

Myrtle Beach, SC ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Tabulate, prepare, and submit data and observation in the form of written and digital reports as ... minds focused on solving engineering and technical challenges from more than 200 locations ...

Programming

Myrtle Beach, SC

  • Medical

  • Dental

  • Vision

  • Retirement

... and podcasting, which bring data, targeting and attribution to all forms of audio at an ... Monitor on-air programming for quality, timing, and compliance with FCC regulations. * Coordinate ...

Showing results 41-60

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 18, 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.

Machine Learning Engineer New Grad 2024-2025 -Remote

Quora

Conway, SC โ€ข On-site

$139K - $168K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 days ago


Job description

About Quora:

Quoraโ€™s mission is to grow and share the worldโ€™s knowledge. To do so, we have two knowledge sharing products:

  • Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
  • Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.

This role will be working on our Poe product.

About the Team and Role:

Our small engineering team works on challenging problems every day. We have a culture that's rooted in constantly learning and improving, and our engineers are encouraged to think big and experiment with new ideas. Using continuous deployment, we quickly see our changes in the product and make fast iterations. Our engineers focus on creating polished products and writing high quality code by designing APIs and abstractions that are extensible and maintainable. Everyone on the engineering team has a huge impact on our product and our company.

At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code editing, RAG, etc. Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to uncover new opportunities to the Poe product. You will also play a key role in developing tools and abstractions that our other developers would build on top of.

Responsibilities:
  • Improve our existing Machine Learning systems using your expertise
  • Identify new opportunities to apply Machine Learning to different parts of the Poe product
  • Work with other engineers to implement algorithms and systems in an efficient way
  • Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale
Minimum Requirements:
  • Ability to be available for meetings and impromptu communication during Quora's โ€œcoordination hours" (Mon-Fri: 9am-3pm Pacific Time)
  • A 2024 or 2025 graduate with or pursuing a B.S., M.S., or Ph.D. in Computer Science, Engineering or a related technical field
  • Strong understanding of mathematical foundations of Machine Learning algorithms
  • Experience of transformer models and LLM applications
  • Strong knowledge of Python or C++, or the ability to learn them quickly
  • A passion for learning and always improving yourself and the team around you
Preferred Requirements:
  • Previous software engineering experience via an internship, work experience, or coding competition
  • Previous industry experience working on natural language processing, language modeling, etc.
  • Passion for Quora's mission and goals

At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the worldโ€™s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.

Additional Information:

We are accepting applications on an ongoing basis.

Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits

There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

  • US candidates only: For US based applicants, the salary range is $107,660 - $161,700 USD + equity + benefits.
  • Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $139,979 - $168,193 CAD + equity + benefits. For all other locations in Canada, the salary range is $130,647 - $156,980 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

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