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

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers. * Own end-to-end data engineering delivery across the project lifecycle. * Build strong ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

As a Lead you will support the development and training of junior members and develop best ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Lead delivery of high-quality data solutions by partnering with stakeholders and coachingdataengineers. * Own end-to-end data engineering delivery across the project lifecycle. * Build strong ...

Partner with the IS Lead and Data Engineer to consume trusted data sources, APIs, lakehouse outputs, dashboards, and system events required to trigger or support automations. * Partner with the ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level ...

Data Engineer - Manager

Raleigh, NC · On-site

$99K - $232K/yr

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... data engineering capabilities - Leading teams in the strategic planning and execution of data ...

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work. This is a hybrid position located in Durham, NC, with the expectation of regular on ...

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Data Engineer and Modeler Category: Software Development/ Engineering Main location: United States ... Lead and execute data migration initiatives, including schema mapping, validation, reconciliation ...

New

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event ...

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event ...

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect delivering production solutions. * Strong understanding of ML methods, statistics, model validation ...

Hands on experience as a lead data scientist, AI/ML engineer, data engineer or solution architect delivering production solutions. * Strong understanding of ML methods, statistics, model validation ...

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Showing results 1-20

Lead Data Engineer information

See Raleigh, NC salary details

$41.3K

$120.3K

$175.5K

How much do lead data engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for lead data engineer in Raleigh, NC is $120,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $131,200.00 per year, depending on experience, location, and employer.

How does a Lead Data Engineer typically collaborate with data scientists and other engineering teams?

As a Lead Data Engineer, you play a central role in bridging the gap between raw data and actionable insights. You’ll collaborate closely with data scientists to understand their requirements, ensuring data pipelines deliver clean, reliable datasets for modeling and analysis. Additionally, you’ll work with software engineers and DevOps teams to integrate data solutions into production systems, maintain data infrastructure, and uphold best practices for data governance and security. Effective communication and cross-functional teamwork are key aspects of this role.

What are the key skills and qualifications needed to thrive as a Lead Data Engineer, and why are they important?

To thrive as a Lead Data Engineer, you need advanced expertise in data architecture, database design, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data technologies (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and relevant certifications such as Google Professional Data Engineer are highly valued. Strong leadership, problem-solving abilities, and effective communication help drive team performance and translate business needs into technical solutions. These skills ensure robust, scalable data pipelines and successful collaboration across technical and business stakeholders.

What is the difference between Lead Data Engineer vs Data Engineer?

AspectLead Data EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platforms or data toolsBachelor's in CS, Data Science, or related; similar certifications
Work EnvironmentLeads data projects, mentors teams, designs architectureBuilds data pipelines, maintains databases, implements data solutions
Industry UsageUsed in organizations with complex data needs, overseeing data teamsCommon in companies handling large-scale data processing

The main difference is that Lead Data Engineers oversee data projects and teams, focusing on architecture and strategy, while Data Engineers focus on building and maintaining data pipelines. Both roles require similar skills and certifications, but the Lead Data Engineer has additional leadership responsibilities.

What are Lead Data Engineers?

Lead Data Engineers are senior professionals responsible for designing, building, and managing large-scale data systems and architectures within an organization. They oversee data engineering teams, set technical standards, and ensure efficient data flow and storage. Their role involves collaborating with data scientists, analysts, and other stakeholders to deliver reliable data solutions that support business goals. Lead Data Engineers also mentor junior engineers and help define best practices and strategies for data management.
What are the most commonly searched types of Lead Data Engineer jobs in Raleigh, NC? The most popular types of Lead Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Lead Data Engineer jobs in Raleigh, NC? For Lead Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Lead Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Lead Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Lead Data Engineer jobs? Cities near Raleigh, NC with the most Lead Data Engineer job openings:
Infographic showing various Lead Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,329 per year, or $57.9 per hour.
Lead Data Scientist

$104K - $174K/yr

Full-time

Re-posted 22 days ago


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.

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