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

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/yr

We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions. About the role We are seeking a skilled and motivated mid level to ...

Automation Engineer

Raleigh, NC · On-site

$100 - $125/hr

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 ...

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 ...

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 ...

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Independently and collaboratively lead client engagement workstreams focused on improvement ...

The role involves leading data engineering practices, data warehousing, and integration, while also ... you can lead data technology architecture from a position of technical authority: o Data ...

... Lead Data Scientist role. Key Responsibilities: • Design, develop, and deploy customer-facing ... Engineers throughout the product development and deployment lifecycle. • Design and optimize ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Lead and participate in architecture reviews, technical design discussions, and code reviews.

NCDPI - Data Engineer - Senior

Raleigh, NC · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to focus on quality assurance and ETL processes, ensuring ... lead to load failures or data backouts. • Work closely with business owners, data analysts ...

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Lead and participate in architecture reviews, technical design discussions, and code reviews.

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Lead and participate in architecture reviews, technical design discussions, and code reviews.

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Lead and participate in architecture reviews, technical design discussions, and code reviews.

Senior Data Engineer

Raleigh, NC · On-site +1

$103K - $140K/yr

The Senior Data Engineer is responsible for designing, developing, enhancing, and supporting ... Lead and participate in architecture reviews, technical design discussions, and code reviews.

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC · On-site

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC · On-site

$80 - $100/hr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands‑on senior role for a fully qualified data engineer who is ready to take ownership ...

Senior Data Engineer #4885

Durham, NC

$102K - $139K/yr

You will architect and lead the development of complex, business-critical ingestion and ... This is a hands-on senior role for a fully qualified data engineer who is ready to take ownership ...

Showing results 41-60

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 Sep 8, 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?

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 key skills and qualifications needed to thrive as a lead data engineer?

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.

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 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 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 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 September 2026, with employment types broken down into 82% Full Time, 4% Part Time, and 14% Contract. Highlights an 80% In-person, 2% Hybrid, and 18% Remote job distribution, with an average salary of $120,329 per year, or $57.9 per hour.

Data Engineer (Health Data Metrics)

Keebler Health

Durham, NC • On-site

$110K - $132K/yr

Full-time

Posted 6 days ago


Job description

About Keebler Health
Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we're looking for people who share our bias toward speed, urgency, and excellence. We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions.
About the role
We are seeking a skilled and motivated mid level to senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.
Key Responsibilities
Data Engineering and Development
  • Design, build, and maintain scalable, efficient data pipelines for ETL/EL T processes on AWS.
  • Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
  • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
  • Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
  • Utilize workflow orchestration tools such as Temporal for pipeline automation.
Healthcare Data Expertise
  • Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
  • Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
  • Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
  • Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Optimization and Innovation
  • Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
  • Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
  • Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Collaboration and Impact
  • Partner with data and engineering teams to ensure data is accessible and meets business requirements.
  • Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
  • Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.

Required Qualifications
  • Must be US based. No foreign applicants will be considered.
  • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure.
  • Experience with tools like dbt and Spark/PySpark for data transformation and modeling.
  • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
  • Knowledge of data warehousing and workflow orchestration tools.

Preferred Skills
  • Strong understanding of healthcare data standards, including FHIR, HL7 and CQL.
  • Hands-on experience with data modeling, normalization, and schema design for complex datasets.
  • Experience designing and building scalable, production-grade data pipelines using orchestration tools such as Airflow, Dagster, or Temporal.
  • Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies.
  • Strong experience with data transformation and distributed processing, using tools such as dbt, Spark/PySpark, and Pandas.
  • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data.
  • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments.
  • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.

What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.

When applying
In addition to your resume, also include:
  • A highly personalized, bold, and hilarious "Keebler Health-style" introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we're building something real.