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Data Engineer Jobs in Marion, NC (NOW HIRING)

Data Science Graduate

Mill Spring, NC ยท On-site

$100 - $125/hr

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates#grads Job Engineering Job Level TCP_01 Salary For the Data Analyst position, (undergrad degree ...

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Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Engineering Manager General Description This role oversees core infrastructure including steam ... Root cause problem solving, analysis of data using MiniTab, integration of existing logs into SAP ...

Engineer - Manufacturing

Fletcher, NC ยท On-site

$69K - $89K/yr

Manufacturing Engineer Linamar does not sponsor employment visas (e.g., H-1B) for this position ... Maintains product and process data by writing computer programs, entering data. * Adhere to IATF ...

Engineer - Manufacturing

Fletcher, NC ยท On-site

$69K - $89K/yr

Manufacturing Engineer Linamar does not sponsor employment visas (e.g., H-1B) for this position ... Maintains product and process data by writing computer programs, entering data. * Adhere to IATF ...

Engineer

Morganton, NC ยท On-site

$125 - $150/hr

Design and perform routine testing, project experiments, analysis of data and reports results * Perform engineering studies on new equipment to resolve accurate settings, control points, etc ...

Showing results 21-40

Data Engineer information

See Marion, NC salary details

$41.3K

$120.3K

$164.7K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Marion, NC is $120,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,600.00 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 job categories do people searching Data Engineer jobs in Marion, NC look for?

The top searched job categories for Data Engineer jobs in Marion, NC are:

What cities near Marion, NC are hiring for Data Engineer jobs?

Cities near Marion, NC with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Marion, NC as of August 2026, with employment types broken down into 83% Full Time, 8% Temporary, and 9% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $120,341 per year, or $57.9 per hour.

Data Science Graduate

Socket.dev

Mill Spring, NC โ€ข On-site

$100 - $125/hr

Other

Posted 3 days ago

New


Job description

Data Science Graduate

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in todayโ€™s complex world.Our culture thrives onfinding new and better ways to accelerate whatโ€™s next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into clientโ€™s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities
  • Participates in the analysis and validation of data sets/solutions/user experience.
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
  • Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
  • Supports the research, identification and delivery of data science solutions to problems.
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Education and Experience Required
  • Bachelorยดs degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.
  • Typically 0-2 years experience.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have โ€” whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#grads

Job

Engineering

Job Level

TCP_01

Salary

For the Data Analyst position, (undergrad degree candidates): The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin
  • The listed salary range reflects base salary. Variable incentives may also be offered.

For the Data Scientist position, (master's degree candidates): The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin
  • The listed salary range reflects base salary. Variable incentives may also be offered.

The estimated job application period closure is July 6 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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