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

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Lead technical coordinationwithin a global delivery model, ensuring consistency and quality of ETL ... data engineering roles delivering enterprise-scale analytics solutions * 5 years of Cloud ...

Databricks Lead

Raleigh, NC · On-site

$99K - $131K/yr

Tata Consultancy Services is seeking a Databricks Lead to design, develop, and optimize data ... The ideal candidate will have extensive experience in data engineering, ETL development, and ...

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Data Governance- Manager

Raleigh, NC · On-site

$99K - $232K/yr

You are expected to lead with integrity and authenticity, articulating our purpose and values in a ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree in Computer Science, Data Science, AI, Software Engineering, or ...

The Opportunity As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide ...

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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.
Data Engineer-Lead - Project Planning and Execution

Data Engineer-Lead - Project Planning and Execution

DPR Construction

Raleigh, NC

$111K - $133K/yr

Full-time

Re-posted 22 days ago


DPR Construction rating

8.0

Company rating: 8.0 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 79 rated construction


Job description

Job DescriptionWe are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. 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 technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations.
Responsibilities
  • Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions.
  • Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams.
  • Partner with the extended data team to define, develop, and maintain shared data models and definitions.
  • Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems.
  • Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery.
  • Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance.
  • Support incident resolution and perform root cause analysis for data-related issues.
  • Create and maintain both business requirement and technical requirement documentation
  • Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions.
  • Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns.
Qualifications
  • Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS).
  • Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities.
  • Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL
  • Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST).
  • Experience with modern data platforms like Snowflake and Microsoft Fabric.
  • Solid understanding of Data Modeling, pipeline orchestration and performance optimization
  • Strong problem-solving skills and ability to troubleshoot complex data issues.
  • Excellent communication skills, with the ability to work collaboratively in a team environment.
  • Familiarity with tools like Power BI for data visualization is a plus.
  • Experience working with or coordinating with overseas teams is a strong plus
Preferred Skills
  • Knowledge of Airflow or other orchestration tools.
  • Experience working with Git-based workflows and CI/CD pipelines
  • Experience in the construction industry or a similar field is a plus but not required.

DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.

Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek.

Explore our open opportunities atwww.dpr.com/careers.


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