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

LexisNexis

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

... serves as a senior source of expertise. The position may also provide sizing or budget ... Mentor lead data engineers interested in consultancy on development methodologies and optimization ...

RELX Group plc

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... serves as a senior source of expertise. The position may also provide sizing or budget ... Mentor lead data engineers interested in consultancy on development methodologies and optimization ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

... serves as a senior source of expertise. The position may also provide sizing or budget ... Mentor lead data engineers interested in consultancy on development methodologies and optimization ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

As an experienced Data Scientist you will have the ability to share new ideas and collaborate on ... AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ...

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

About the Role As a Senior Data Scientist, you will become a subject matter expert, defining ... You will work closely with other data scientists and engineers to design, develop, and deploy ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

RELX Group plc

Senior Data Scientist III

Raleigh, NC · On-site

$138K - $230K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

RELX

Senior Data Scientist III

Raleigh, NC · Hybrid

$138K - $230K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · Hybrid

$138K - $230K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects ... Collaborate with product, legal experts, and engineers to align solutions with user needs. * Mentor ...

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Showing results 1-20

All JobsSr Data Engineer JobsSr Data Engineer Jobs in Raleigh, NC

Sr Data Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do sr data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for sr data engineer in Raleigh, NC is $122,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a SR data engineer do?

A senior data engineer designs, develops, and maintains large-scale data pipelines and architectures to support data collection, storage, and analysis. They work with tools like SQL, Python, and cloud platforms, ensuring data quality and security while collaborating with data scientists and analysts. Their role often involves optimizing data workflows and implementing best practices for data management.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives. Achieving this level typically requires years of experience and a strong track record in data engineering roles.

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, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing scalable solutions using tools like SQL, Python, and cloud platforms. Their expertise remains critical in developing and overseeing AI systems and analytics workflows.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

How do Sr Data Engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What engineers make 300,000 a year?

Senior data engineers, software engineers, and specialized roles such as machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and in high-demand industries like finance or tech. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are Sr Data Engineers?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.
What are popular job titles related to Sr Data Engineer jobs in Raleigh, NC? For Sr Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Sr Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Sr Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Sr Data Engineer jobs? Cities near Raleigh, NC with the most Sr Data Engineer job openings:
Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,794 per year, or $59 per hour.

Consulting Data Engineer

LexisNexis

Raleigh, NC

$104K - $174K/yr

Full-time

Posted 10 hours 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 our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role

Do you love collaborating with teams to solve complex technical problems?

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC. This position provides assistance and input to management, develops and leads large multi-functional development activities, solves complex technical problems, writes complex code for computer systems, and serves as a senior source of expertise. The position may also provide sizing or budget recommendations to management.

Responsibilities:

  • Serve as a primary technical point of contact for external technology resources.

  • Work directly with customers and end users.

  • Serve as acknowledged "go to" person on coding, technical, and data management issues.

  • Interface with other technical personnel or team members to document, interpret, and finalize requirements.

  • Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.

  • Write and review portions of detailed specifications for the development of system components of moderate complexity.

  • Complete complex bug fixes and technical issues. Report issues and results, researching and identifying root causes as appropriate, documenting accordingly.

  • Design and work with complex data models.

  • Mentor lead data engineers interested in consultancy on development methodologies and optimization techniques.

  • Work with QA/Testing staff, project managers, technical leads, and subject matter experts to plan and execute automated and performance tests.

  • Develop and execute automated and performance scripts for assigned projects to successfully and consistently enable delivery of high-quality products and services on time, on budget, and to specification.

  • Conduct code and project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables.

Requirements:

  • 10+ years engineering experience, data strategy experience and data management required.

  • Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required

  • Software development process expert in applicable methodologies (e.g., Agile, Waterfall).

  • Expertise in industry technology language development trends.

  • Expertise in data engineering and maintenance including techniques for applying best practices for overall project benefit.

  • Proven expertise in the use and development of applicable desktop tool sets.

  • Proven expert in partnering and leading internal and external technology resources in solving complex business needs.

  • Strong interpersonal skills.

  • Solid knowledge of architectural principles.

  • Ability to partner and lead internal and external technology resources in solving complex business needs.

  • Excellent proficiency with data manipulation language including optimization techniques.

  • Expertise in development languages including but not limited to: Java/J2EE, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, UNIX, .Net., HPCC.


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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