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

Pwc

Payer Healthcare Data Scientist, Manager

Raleigh, NC

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

RELIAS

Data Engineer I

Morrisville, NC · Hybrid

$107K - $128K/yr

For 11,000+ health care and human service organizations, Relias helps clients deliver better ... Bachelor's Degree in computer science or related field * 2+ years in data engineering, with at ...

New

Bertelsmann

Data Engineer I

Morrisville, NC · On-site

$107K - $128K/yr

For 11,000+ health care and human service organizations, Relias helps clients deliver better ... Bachelor's Degree in computer science or related field * 2+ years in data engineering, with at ...

New

Chiesi Group

Data Engineer

Cary, NC · Hybrid

$106K - $127K/yr

Who we are looking for This is what you will do The Data Engineer will play a key role in designing ... We provide top-class benefits, including comprehensive healthcare programs, work-life balance ...

Contemporaries

Be Seen First

Data Engineer

Durham, NC · On-site

$57 - $63/hr

Contemporaries Inc. is supporting the National Institute of Environmental Health Sciences (NIEHS) in the recruitment of a Data Engineer to support environmental health and extreme weather research ...

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of ...

DPR Construction

PCA Data Engineer

Raleigh, NC

$111K - $133K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of ...

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

Healthcare Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do healthcare data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for healthcare data engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of healthcare data engineers by automating data processing and analysis tasks, but it does not replace the need for skilled professionals to design, manage, and ensure data quality and security. Data engineers continue to be essential for building data pipelines, integrating systems, and maintaining infrastructure in healthcare environments. Their expertise in tools like SQL, Python, and cloud platforms remains critical despite advancements in AI automation.

What is a Healthcare Data Engineer job?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are the key skills and qualifications needed to thrive in the Healthcare Data Engineer position, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

Is it hard to become a healthcare data analyst?

Becoming a healthcare data analyst typically requires a strong foundation in data analysis, statistics, and healthcare systems, often supported by a degree in fields like health informatics, data science, or related areas. Developing skills in tools such as SQL, Excel, and data visualization software, along with understanding healthcare regulations like HIPAA, can facilitate entry into the field. While the learning curve can be steep, gaining relevant certifications and experience can make the process more manageable.

What engineers make $300,000 a year?

Senior healthcare data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms can earn $300,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in large healthcare organizations or consulting firms.

What are some typical projects or challenges a Healthcare Data Engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, and certain engineering management roles can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, system architecture, or project leadership, and may include bonuses or stock options that contribute to total compensation.
What are the most commonly searched types of Healthcare Data Engineer jobs in Raleigh, NC? The most popular types of Healthcare Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Healthcare Data Engineer jobs in Raleigh, NC? For Healthcare Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Healthcare Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Healthcare Data Engineer jobs? Cities near Raleigh, NC with the most Healthcare Data Engineer job openings:
Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

AI Engineer (LLMs for Healthcare)

Keebler Health

Durham, NC • On-site

Full-time

Posted 7 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. As a member of the team, you won't just write code or stay in your lane-you'll shape critical systems, innovate quickly, and set a high bar for a product that supports the future of U.S. healthcare.
About the role
We are seeking a talented and motivated mid to senior level AI Engineer with expertise in developing and fine-tuning large language models (LLMs), healthcare workflows, and AI/ML engineering best practices. The ideal candidate will bring a deep understanding of healthcare-specific challenges and modern AI techniques to drive innovation in Value-Based Care solutions. Level and salary will commensurate with experience.
Key Responsibilities
AI/ML Engineering
  • Fine-tune and optimize large language models (LLMs) to address specific healthcare applications.
  • Develop and apply advanced prompt engineering techniques to enhance model outputs for clinical scenarios.
  • Implement Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets.
  • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced decision-making.
  • Evaluate black-box models using precision, recall, and other performance metrics, ensuring robustness and reliability.
Healthcare Expertise
  • Collaborate with healthcare professionals to understand workflows and identify opportunities for AI-driven enhancements.
  • Design and build AI models that align with healthcare standards and regulations (e.g., HIPAA compliance).
  • Integrate domain-specific knowledge of healthcare data, including FHIR and interoperability standards, into AI solutions.
MLOps & Deployment
  • Develop and maintain scalable, production-ready AI pipelines using MLOps tools.
  • Deploy and monitor AI models in production environments to ensure performance and compliance.
  • Optimize infrastructure for efficient training, testing, and deployment of models.
Innovation and Optimization
  • Stay at the forefront of advancements in AI, especially in healthcare applications.
  • Identify and resolve performance bottlenecks in AI workflows.
  • Explore emerging trends and technologies in LLMs and healthcare to continually improve solutions.

Collaboration and Impact
  • Partner with cross-functional teams, including data engineers and clinicians, to ensure seamless integration of AI into healthcare workflows.
  • Communicate technical results and insights effectively to non-technical stakeholders.

Required Qualifications
  • Proven experience in LLM fine-tuning and advanced prompt engineering.
  • Strong background in Python and modern ML frameworks (e.g., Huggingface, pyTorch).
  • Familiarity with healthcare workflows and regulatory requirements (e.g., HIPAA, FHIR standards).
  • Hands-on experience with retrieval-augmented generation (RAG) techniques.
  • Expertise in evaluating AI models using performance metrics like precision, and recall.

Preferred Skills
  • Experience with MLOps frameworks such as MLflow, Langfuse, or similar tools.
  • Understanding of healthcare data standards, including HL7 and HEDIS metrics.
  • Strong problem-solving skills in integrating AI with complex healthcare datasets.
  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

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.

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.

Apply