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Junior Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Your responsibilities would be to support the development and training of junior staff and to ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Your responsibilities would be to support the development and training of junior staff and to ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Your responsibilities would be to support the development and training of junior staff and to ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Your responsibilities would be to support the development and training of junior staff and to ... Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Working closely with other data scientists and engineers to design, develop, and deploy AI ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

Working closely with other data scientists and engineers to design, develop, and deploy AI ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

You will work closely with other data scientists and engineers to design, develop, and deploy ... Mentor junior data scientists and provide guidance on best practices. * Drive best practices across ...

Software Engineering Senior Advisor- Hybrid

Raleigh, NC · Hybrid

$119K - $157K/yr

Guide and mentor junior data engineers and analysts, helping them grow their skills. Review code written by team members to ensure quality and adherence to best practices. Lead discussions about ...

... with other data scientists and engineers to design, develop, and deploy AI solutions ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices

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Showing results 1-20

Junior Data Engineer information

See Raleigh, NC salary details

$32.5K

$69.7K

$106.3K

How much do junior data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for junior data engineer in Raleigh, NC is $69,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,100.00 and $77,700.00 per year, depending on experience, location, and employer.

What is a Junior Data Engineer job?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the key skills and qualifications needed to thrive in the Junior Data Engineer position, and why are they important?

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

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 job categories do people searching Junior Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Junior Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Junior Data Engineer jobs? Cities near Raleigh, NC with the most Junior Data Engineer job openings:
Infographic showing various Junior Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 83% Full Time, 4% Part Time, and 13% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution, with an average salary of $69,718 per year, or $33.5 per hour.

Lead Data Scientist

LexisNexis

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Posted 27 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

149th of 427 rated business services


Job description

About Us:

LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.

About the Role:

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

We are seeking a Lead Data Scientist to leads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.

For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.

Responsibilities:

  • Leading the development of advanced AI and machine learning models to solve complex business problems

  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions

  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs

  • Analyzing large datasets to identify patterns and trends that can inform AI development

  • Communicating findings and insights to stakeholders in a clear and concise manner

  • Staying current with the latest AI and machine learning trends and technologies

  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices

  • Driving best practices across our data science functions

  • Setting strategy and team direction, with a clear vision for Data Science

  • Working with product leaders to apply data science solutions.

  • Evaluating and creating new frameworks and defining methodologies and governance

  • Leading small- to medium-sized teams

  • Setting a high bar for model development

Requirements:

  • Have substantial experience in a senior data scientist role

  • Have experience in leading complex projects and customer relationships

  • Have significant experience in leading technical teams

  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues

  • Be a natural problem solver, able to take a lead in collaborating to resolve issues

  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.

  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.

  • Experience with reinforcement learning, prompt engineering, hallucination mitigation

  • Working understanding of the business risks associated with applying LLM in a business

  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)

  • Strong coding skills in Python or another programming language

  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders

  • Strong problem-solving skills and the ability to think outside the box

U.S. National Base Pay Range: $104,900 - $174,700. 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.

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