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

Data Engineer

Raleigh, NC

$111K - $133K/yr

Preferred experience includes familiarity with additional programming languages such as Java, Scala ... No immigration sponsorship is available for this position. The firm's expected hiring range for ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Experience building and maintaining data pipelines and workflows in production environments ... GitLab, Azure DevOps, Terraform, Argo CDo Containerization: Kubernetes, Dockero Data Tools: Pyspark ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

PCA Data Engineer

Raleigh, NC

$111K - $133K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Sr Data Engineer /ETL

Raleigh, NC · On-site

$111K - $133K/yr

Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes. * Expertise in Python, PyPI, and SQL * Expert analytical and problem-solving ...

Data Engineer - Bilingual Mandarin required

Norco, CA · On-site

$123K - $147K/yr

... Experience • 1-4 years of experience in data engineering, data platforms, data warehousing, backend development, analytics engineering, or a related role • Real project experience in data ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

... Experience • 1-4 years of experience in data engineering, data platforms, data warehousing, backend development, analytics engineering, or a related role • Real project experience in data ...

Senior Data Engineer

Durham, NC

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... DE performing data lifecycle (implementation, transformation, integration, migration, tuning, and ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Education and Experience : Bachelor's degree in Computer Science, Engineering, Information ... DE performing data lifecycle (implementation, transformation, integration, migration, tuning, and ...

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 ...

New

... 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 ...

Strong experience in predictive modeling, machine learning algorithms, statistical analysis, and data mining. * Core Programming Stack: High proficiency with Python, R, and SQL , alongside modern ...

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Showing results 1-20

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 20, 2026, the average yearly pay for no experience data engineer in Raleigh, NC is $126,095.00, 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 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:
Sr Data Engineer (Cloud / Snowflake / Databricks/ BigQuery)

Sr Data Engineer (Cloud / Snowflake / Databricks/ BigQuery)

Relevance Lab Inc.

Raleigh, NC • On-site

$111K - $133K/yr

Other

Posted 12 days ago


Job description

Looking for Strong Data Engineer Snowflake and/or Databricks and/or BigQuery etc

Total 15yrs of experience

Data Engineer Role Profile

worked on Cloud and products like Snowflake and/or Databricks and/or BigQuery etc

  • Data Pipelines & ETL/ELT: Robust experience building, monitoring, and optimizing data pipelines.
  • Core Languages: Strong proficiency in Python, SQL, and Scala/Java.
  • Data Modeling: Expertise in designing scalable data schemas (Star/Snowflake schemas, Data Vault, etc.).

New Preferred Enhancements

  • Cloud Data Platforms: Hands-on experience architecting and implementing solutions using modern cloud data warehouses and lakehouses, specifically:
    • Snowflake: Data sharing, Snowpipe, virtual warehouses, and clustering keys.
    • Databricks: Delta Lake, Spark optimization, Unity Catalog, and Lakehouse architecture.
    • Google BigQuery: Serverless architecture optimization, partitioning, clustering, and slot management.
  • Cloud Infrastructure: Familiarity with deploying data infrastructure across major cloud providers (AWS, Azure, or Google Cloud Platform).