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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 ...

Leads efforts to improve engineering, test, and operational excellence best practices. * Solves ... Data onboarding log sources from network devices, infrastructure services, mission critical ...

Data Engineer

Raleigh, NC · On-site +1

$93 - $100/hr

Alphanumeric is hiring a DATA ENGINEER to work remotely out of the Richmond, VA area with an ... Teaming with architects and a tech lead on the design for specific project scope. * Estimating work ...

Data Engineer

Raleigh, NC · On-site +1

$93 - $100/hr

Alphanumeric is hiring a DATA ENGINEER to work remotely out of the Richmond, VA area with an ... Teaming with architects and a tech lead on the design for specific project scope. * Estimating work ...

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 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 ...

Data Engineer

Raleigh, NC · On-site

$75 - $85/hr

As a Data Engineer, you will be responsible for designing, developing, and maintaining data ... Lead the design and optimization of scalable data architectures to support evolving business needs.

The Automation Engineer will work closely with the AI Lead, AI Solutions Architect, Transformation PMO, Information Systems Lead, Data Engineer, Business Analyst, functional leaders, and Federated ...

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 ...

AI Data Engineer - Manager

Raleigh, NC

$111K - $133K/yr

The AI Data Engineer will lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through ...

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 Jun 17, 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.

What is a lead data engineer?

A lead data engineer is a senior technical role responsible for designing, building, and maintaining an organization’s data infrastructure and pipelines. They often oversee data teams, ensure data quality, and work with tools like SQL, Spark, and cloud platforms to support data analytics and business decision-making.

How much do lead data engineers get paid?

Lead data engineers typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles often include expertise in big data tools like Hadoop and Spark, and may involve leadership responsibilities and advanced certifications.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI models effectively. Their expertise remains critical in managing complex data environments and integrating new technologies.

What engineers make 500,000?

Lead Data Engineers and senior engineering roles in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in big data tools, cloud platforms, and leadership responsibilities. Compensation varies based on company size, location, and individual expertise.
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:

$104K - $174K/yr

Full-time

Posted 2 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 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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