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

Data Engineer III

Raleigh, NC

$111K - $133K/yr

About the Role We are looking for a Data Engineer III to join our Data Engineering team at ... Health Savings, Health Care, Dependent Care and Commuter Spending Accounts * Up to two days of paid ...

Data Engineer III

Raleigh, NC · On-site

$111K - $133K/yr

About the Role We are looking for a Data Engineer III to join our Data Engineering team at ... Health Savings, Health Care, Dependent Care and Commuter Spending Accounts * Up to two days of paid ...

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 ... a person's health before approving a policy. You will be expected to perform the entire SDLC ...

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 ... a person's health before approving a policy. You will be expected to perform the entire SDLC ...

Snowflake Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

About the role Inn-Flow is hiring a Snowflake Data Engineer with 3+ years of hands-on experience ... great care of our people. At Inn-Flow, you'll enjoy: Benefits • Health, dental, and vision ...

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of ... Certain jobs at Duke University and Duke University Health System may include essential job ...

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

AI Data Engineer Data Analytics Practice | Office of Information Technology Be You. The Office of ... Certain jobs at Duke University and Duke University Health System may include essential job ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

... health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel ... We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

... health outcomes by connecting people with the care, pharmacy benefits, and data they need to feel ... We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

... health outcomes by connecting people with the care, pharmacy benefits, data and resources they need ... Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

... health outcomes by connecting people with the care, pharmacy benefits, data and resources they need ... Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance ...

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 ... healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of ...

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Power System Engineer II

Raleigh, NC · On-site

$83K - $101K/yr

SE Engineering, PC is a specialized power systems engineering firm trusted by industrial, healthcare, data center, and mission‐critical facilities. We're growing and looking for a Power Systems ...

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options. * Time Off:

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Showing results 1-20

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 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:
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.

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

149th of 427 rated business services


Job description

Raleigh, NC / Hybrid

About the Team


LexisNexis is a leading global provider of legal, regulatory and business information, and analytics that help customers increase productivity and improve decision-making and outcomes. We help lawyers win cases, manage their work more efficiently, serve their clients better, and grow their practices. We feel privileged to work in a business that has a higher purpose - advancing the rule of law around the world - which is vital for building peace and prosperity in society.

About the Role

We are looking for a Data Engineer III to join our Data Engineering team at LexisNexis. This role is ideal for a highly skilled and experienced data engineer who can independently design and deliver scalable data platforms, optimize cloud-based analytics systems, and support mission-critical production pipelines.

In this role, you will provide technical leadership across Databricks development, Redshift administration, engineering analytics, and behavior analytics ingestion. You will play a key role in shaping data architecture, improving platform reliability, and driving best practices for performance, observability, and operational excellence. You will also partner closely with cross-functional teams to deliver data solutions that support engineering, product, and analytics use cases at scale.

Responsibilities

  • Design, develop, optimize, and maintain large-scale data pipelines using Databricks, Spark, and Delta Lake.
  • Define and implement scalable ETL/ELT patterns for structured and semi-structured data across multiple sources and domains.
  • Improve performance, cost efficiency, reliability, and maintainability of Databricks jobs, workflows, and clusters.
  • Contribute to data architecture decisions and establish engineering best practices for cloud-based data processing.
  • Perform Redshift administration activities including cluster management, database administration, workload tuning, and operational support.
  • Build, optimize, and maintain Redshift schemas, tables, and complex SQL transformations to support analytics and reporting needs.
  • Design, develop, and maintain data pipelines powering engineering analytics dashboards, metrics, and reporting solutions.
  • Partner with stakeholders to define, compute, and evolve engineering KPIs such as deployment frequency, MTTR, reliability, and quality metrics.
  • Own ingestion and processing pipelines for behavior analytics and product telemetry, including: Matomo - event and tracking data ingestion; FullStory - behavioral analytics and session replay data; Pendo - product usage, feature analytics, and event telemetry
  • Ensure data quality, completeness, and usability for downstream analytics consumers.
  • Provide L2/L3 support for critical data pipelines and platform components, ensuring high availability and timely incident resolution.
  • Lead root cause analysis efforts and implement corrective and preventive actions for recurring issues.
  • Establish and improve monitoring, alerting, logging, and observability standards across data systems.
  • Partner with platform and infrastructure teams to ensure compliance with LexisNexis operational and security standards.

Requirements

  • Strong hands-on experience with Databricks, Spark, and Delta Lake.
  • Advanced proficiency in SQL, including performance tuning and optimization at scale.
  • Strong experience with AWS, especially S3, Lambda, IAM, Redshift, Glue, and Step Functions.
  • Strong experience in Redshift administration, including performance tuning, distribution and sort key strategy, workload management, and cluster optimization.
  • Solid Python programming skills for ETL/ELT pipelines, automation, and data engineering solutions.
  • Experience working with telemetry, clickstream, or behavioral analytics data.
  • Familiarity with Matomo, FullStory, and/or Pendo data processing.
  • Experience supporting production data environments, including incident management, RCA, and monitoring.
  • Strong understanding of data quality, lineage, governance, and cataloging frameworks.
  • Ability to independently drive technical solutions and influence design decisions across teams.
  • Experience with Kafka, Kinesis, or other event streaming technologies.
  • Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks.
  • Exposure to engineering analytics, including DORA metrics and developer productivity insights.
  • Experience with AWS EMR for distributed data processing workloads.
  • Experience mentoring engineers and contributing to technical leadership within a team.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive


Working for you

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice


About the Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

U.S. National Base Pay Range: $71,600 - $119,400. 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.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Formor please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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