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Entry Level Data Management Jobs in Raleigh, NC (NOW HIRING)

Battelle

Biologist - Entry Level

Durham, NC · On-site

$60K - $80K/yr

We conduct research and development, manage national laboratories, design and manufacture products ... Active or previously held government security clearance Compensation Data Battelle is committed to ...

Dewberry

Entry Level GIS Professional

Raleigh, NC

... managers, clients, local communities, and other contractors to compile all data necessary to ... Our entry-level program comes together on a regular basis for professional development events and ...

Dewberry

Entry Level GIS Professional

Raleigh, NC · On-site

... managers, clients, local communities, and other contractors to compile all data necessary to ... Our entry-level program comes together on a regular basis for professional development events and ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SPECTRUM

Entry Level Sales

Cary, NC · On-site

$100K/yr

... data, mobile, landline phone and video services * Monitor competitors' activities within your territory and communicate relevant information to your manager Working Conditions    * Spend ...

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All JobsEntry Level Data Management JobsEntry Level Data Management Jobs in Raleigh, NC

Entry Level Data Management information

See Raleigh, NC salary details

$11

$19

$30

How much do entry level data management jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for entry level data management in Raleigh, NC is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.25 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data management roles often value skills and relevant training over age, and many professionals transition into data science later in their careers. Gaining knowledge of tools like SQL, Excel, and basic programming can help, regardless of age, and continuous learning is common in the field.

How to start a career in data management?

To start a career in data management, gain foundational knowledge in database concepts, data structures, and SQL through online courses or certifications. Developing skills in data cleaning, organization, and tools like Excel or data management software can improve employability, and entry-level roles often require a bachelor's degree in information systems, computer science, or related fields.

Are there entry-level jobs at data centers?

Entry-level data management roles at data centers often include positions such as data technician or assistant, which may require basic knowledge of data systems and familiarity with data management tools. These roles typically offer on-the-job training and may require certifications like CompTIA Data+ or basic IT skills. Opportunities are available for individuals seeking to start a career in data infrastructure and management environments.

What are entry level data management jobs?

Entry level data management jobs involve organizing, maintaining, and ensuring the accuracy of data within a company or organization. These roles typically include tasks such as data entry, data cleaning, updating databases, and assisting with data analysis projects under the supervision of more experienced data professionals. Entry level positions are ideal for those new to data management who want to build foundational skills in handling and processing data, often requiring attention to detail and proficiency with spreadsheet or database software.

Can I be a data analyst with no experience?

Entry level data management roles often do not require prior experience, but familiarity with tools like Excel, SQL, or data visualization software can be beneficial. Gaining relevant skills through online courses or certifications can improve your chances of starting as a data analyst without experience.

What are some common challenges faced by entry level data management professionals, and how can they be overcome?

Entry level data management professionals often encounter challenges such as ensuring data accuracy, learning new data management software, and understanding organizational data standards. These challenges can be overcome by taking advantage of training resources, seeking mentorship from experienced team members, and maintaining clear documentation. Proactively communicating with colleagues and asking questions can also help new hires quickly adapt to the team's workflows and best practices.

What are the key skills and qualifications needed to thrive as an Entry Level Data Management professional, and why are they important?

To thrive as an Entry Level Data Management professional, you need strong attention to detail, basic data analysis skills, and a relevant degree in fields like information systems, statistics, or business. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization platforms is commonly required. Excellent organizational skills, effective communication, and a proactive approach to problem-solving help you stand out in this role. These skills and qualities are essential for maintaining data accuracy, supporting business decisions, and ensuring efficient data processes.

What is the difference between Entry Level Data Management vs Data Analyst?

AspectEntry Level Data ManagementData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, database maintenance, data quality controlData interpretation, reporting, visualization
Employer & Industry UsageBusinesses managing large datasets, IT departmentsMarketing, finance, healthcare, consulting firms

Entry Level Data Management focuses on organizing, maintaining, and ensuring data quality within organizations. Data Analysts interpret data to generate insights and support decision-making. While both roles require familiarity with databases and data tools, Data Analysts typically perform more analytical and reporting tasks, whereas Data Management roles emphasize data integrity and storage.

What are the most commonly searched types of Data Management jobs in Raleigh, NC? The most popular types of Data Management jobs in Raleigh, NC are:
What are popular job titles related to Entry Level Data Management jobs in Raleigh, NC? For Entry Level Data Management jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Management jobs in Raleigh, NC look for? The top searched job categories for Entry Level Data Management jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Data Management jobs? Cities near Raleigh, NC with the most Entry Level Data Management job openings:
Entry Level Data Management jobs near you
Infographic showing various Entry Level Data Management job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,921 per year, or $19.7 per hour.
Senior Data Engineer ***EST Preferred

Senior Data Engineer ***EST Preferred

LexisNexis

Raleigh, NC • On-site

$78K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

111th of 437 rated business services

Job description

About Us

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About the Role

We are seeking a highly skilled Senior Data Engineer with expertise in Retrieval-Augmented Generation (RAG) and strong Python programming skills to join our innovative team. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing cutting-edge AI solutions.

Responsibilities:

  • Test, evaluate and implement AI models with a focus on Retrieval-Augmented Generation (RAG).
  • Strong prompt engineering and prompt testing skills to derive the desired outcome
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize and fine-tune RAG models for performance and scalability cost saving.
  • Conduct research and stay up-to-date with the latest advancements in AI and machine learning.
  • Write clean, efficient, and maintainable code in Python.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Troubleshoot and debug AI models and applications in a mono-repo settings.
  • Document AI models, processes, and workflows.
  • Train entry-level data engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
  • Keep abreast of new technology developments.
  • Design and works with complex data models.
  • Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
  • Work closely with other development team members to understand complex product requirements and translate them into data engineering and/or data management designs.
  • Mentor less senior data engineers on methodologies and optimization techniques.
  • All other duties as assigned

Requirements

  • Proven experience as a Data Engineer/ AI Engineer or similar role.
  • Strong proficiency in Python programming.
  • In-depth knowledge of Retrieval-Augmented Generation (RAG) models.
  • Proven experience in prompt engineering
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Proficiency in data preprocessing and feature engineering techniques.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.

Preferred Skills:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of natural language processing (NLP) techniques.
  • Familiarity with version control systems (e.g., Git).
  • Experience with deploying AI models in production environments.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits

  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan

  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs

  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity

  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits

  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts

  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice


About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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