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No Experience Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Relias US

Data Engineer I - Data 360

Morrisville, NC · Hybrid

Hands-on experience with Salesforce Data Cloud (Data 360): data streams, connectors, ingestion ... Programming in SQL and Python. Additional Information IN OFFICE REQUIREMENT: Relias values ...

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Verdesian

Data Engineer - Mid Level

Cary, NC · On-site

$107K - $128K/yr

Other duties as assigned Qualifications: * 3 years' experience as a data engineer, business systems ... Experience with ETL tools, preferably SSIS (or equivalent such as Mulesoft or Azure Data Factory)

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Showing results 21-40

All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Raleigh, NC

No Experience Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do no experience data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for no experience data engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What are 'No Experience Data Engineers'?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

Can I make 200k as a data engineer?

Achieving a salary of 200k as a data engineer is possible, especially with significant experience, advanced skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas or senior roles. Entry-level data engineers typically earn lower salaries, but with experience, certifications, and specialization, higher compensation is attainable.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data processing and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools can augment their work but do not eliminate the need for human expertise in complex data environments.

What engineers make $500,000?

Highly experienced data engineers with specialized skills in big data, cloud platforms, and advanced analytics can earn $500,000 or more annually, especially in senior or leadership roles at large companies. Achieving this level typically requires extensive experience, advanced certifications, and a strong track record of managing complex data infrastructure.

What are some effective ways for entry-level Data Engineers to quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

Can I get a data engineer job with no experience?

Entry-level data engineering roles often require some knowledge of programming, databases, and data processing tools like SQL, Python, or cloud platforms. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such positions.

What are the key skills and qualifications needed to thrive as a No Experience Data Engineer, and why are they important?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
What are the most commonly searched types of Data Engineer jobs in Raleigh, NC? The most popular types of Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to No Experience Data Engineer jobs in Raleigh, NC? For No Experience Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching No Experience Data Engineer jobs in Raleigh, NC look for? The top searched job categories for No Experience Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for No Experience Data Engineer jobs? Cities near Raleigh, NC with the most No Experience Data Engineer job openings:
No Experience Data Engineer jobs near you
Infographic showing various No Experience Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Engineer I - Data 360

Relias US

Morrisville, NC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

Company Description

Are you looking for a high energy, strategic, and fast-paced position with an impactful and mission-driven company? Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical and financial outcomes!

For 11,000+ health care and human service organizations, Relias helps clients deliver better clinical and financial outcomes by elevating the performance of teams. We help organizations across the continuum of care get better at maintaining compliance, developing staff and promoting consistent, high-quality care. Our platform employs assessments to reveal specific gaps in skills and addresses them with personalized and engaging learning, choosing from 7,000+ online courses that meet accrediting board, state and federal requirements.  We are passionate about our products and our clients; what we deliver and the impact we have on the world is truly something you can be proud to represent.  Join us and make a difference.

WHAT CAN RELIAS OFFER YOU?

  • Fantastic health and wellness benefits package, including an outstanding 401k match, a flexible PTO program, and a generous and inclusive parental leave policy. Additionally, Relias pays for the employee portion of the monthly healthcare premium!
  • Flexible work environment with onsite and work from home options – you choose when you want to come into the office!
  • Active Employee Resource Groups open to all employees!
  • Comprehensive onboarding program – a great introduction to our company, customers and culture!
  • Growth and career advancement opportunities!
    • Promotes internal mobility and career growth aligned with evolving business needs
    • Multiple development program options – leadership development, professional development curriculums, and Nanodegree options in both technology and data science
    • Professional development gained from conference attendance and participation in organizations like NC Tech
    • Onsite 321 Coffee Shop providing free coffee and pastries to employees
Job Description

The Revenue Technology Data Engineer I owns the revenue data platform that powers analytics and AI across the customer lifecycle. This role designs and operates ingestion pipelines from Salesforce and other RevTech systems (e.g., Gong, Pardot) into Salesforce Data Cloud (Data 360), builds and maintains identity resolution and data models within Data Cloud, integrate third-party enrichment sources, interoperate with the Relias Information Hub on Databricks, onboard new structured and unstructured sources, and prepare the trusted, governed data foundation that grounds our Agentforce agents. You will partner with Revenue Technology colleagues, the Salesforce architecture team, and central data engineering to translate business needs into reliable data products. 

WHAT YOU’LL BE DOING:

  • Data Cloud Pipeline Development: Design, build, and maintain ingestion and transformation pipelines into Salesforce Data Cloud (Data 360) from Salesforce CRM, Gong, Pardot (MCAE), and other revenue systems using native connectors, APIs, and streaming patterns. 
  • Data Modeling and Identity Resolution: Build and maintain Data Cloud data models, mapping to the canonical data model, and configure identity resolution rulesets to unify customer and account data across sources. 
  • AI and Agentforce Enablement: Prepare, structure, and govern the data foundation that grounds Agentforce, including unstructured sources, so agents operate on accurate, current, and permissioned data. 
  • Cross-Platform Integration and Enrichment: Integrate Data Cloud with the Relias Information Hub on Databricks, and integrate and maintain enrichment pipelines from providers such as ZoomInfo, Dun and Bradstreet, Definitive Healthcare, and Clay into Salesforce and Data Cloud, including match and dedupe logic, field survivorship, and monitoring of match rates and data freshness. 
  • Data Quality, Governance, and Troubleshooting: Ensure data accuracy, consistency, lineage, and security through validation, monitoring, and access controls, and identify, diagnose, and resolve data issues promptly. 
  • Documentation: Create and maintain documentation for pipelines, data models, mappings, and integration patterns. 
    Qualifications

    YOU’VE GOT WHAT IT TAKES IF YOU HAVE:

    •     Bachelor’s Degree in computer science or related field
    •     2+ years in data engineering, with at least 1 to 2 years on Salesforce Data Cloud or comparable CDP and Salesforce data integration. 
    •     Hands-on experience with Salesforce Data Cloud (Data 360): data streams, connectors, ingestion, transforms, data model objects, identity resolution, and calculated insights. 
    •     Working knowledge of the Salesforce platform and revenue stack data structures (Salesforce CRM, Gong, Pardot/MCAE). 
    •     Programming in SQL and Python.  

    Additional Information

    IN OFFICE REQUIREMENT:

    Relias values collaboration and wants to ensure that our team members have opportunities to work with their teams regularly for professional development opportunities. Our flexible hybrid work environment requires that you live in the state of North Carolina, within a commutable distance to our office (~1-hour commute). You would be expected to work in our Morrisville, NC Headquarters (close to the Raleigh/Durham airport) approximately 30 days/quarter.

    Relias is an Equal Opportunity Employer and a Drug-Free workplace. Relias welcomes and encourages applications from people with disabilities and is happy to make reasonable accommodations in all aspects of the selection process.  If you are an individual with a disability and require reasonable accommodation to complete any part of the job application process, please visit our career page for instructions. 

    All your information will be kept confidential according to EEO guidelines.

    Disclosure requirements pertaining to the collection of your personal data:


    Responsible for processing the information provided in your application is the company specified in the job advertisement, with its registered office as indicated. The company processes your data for the purpose of establishing an employment relationship on the basis of Art. 6 (1) b GDPR / Section 26 (1) sentence 1 BDSG.

    The retention period for your data is determined by the statutory time limits applicable in the respective country, beginning upon completion of the recruitment process. You can find these here.

    You can contact the company’s Data Protection Officer at the above-mentioned postal address. 

    Further information on data protection and your rights can be found here.
     

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