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

Infosys

AWS Redshift Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

... salary level * Paid holidays plus Paid Time Off About Us Infosys is a global leader in next ... We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ...

Pwc

GenAI Python Systems Engineer-Manager

Raleigh, NC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Pwc

Data Strategy & Governance -Director

Raleigh, NC · On-site

$155K - $410K/yr

... data engineering - Designing advanced analytics solutions and AI/ML models - Supporting business development efforts Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Infosys Limited

AWS Python Data Engineer

Raleigh, NC · On-site

$95 - $135/hr

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... on salary level About Us Infosys is a global leader in next-generation digital services and ...

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Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... The salary range for this position is: $99,000 - $232,000. Actual compensation within the range ...

Pwc

AI Engineer

Raleigh, NC · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... The salary range for this position is: $50,500 - $112,500. Actual compensation within the range ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

... engineering and ML Ops team members to develop and operationalize data science solutions, including migrating prototypes into production environments. #LI-DNI The salary range for this position is ...

Red Hat, Inc.

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

Collaborating with platform administrators, system analysts and data engineers to implement data solutions and pipelines integrating data between platforms. The salary range for this position is $125 ...

Redhat

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

... engineers to implement data solutions and pipelines integrating data between platforms. #LI-DNI The salary range for this position is $125,653 - $180,000/year. Actual offer will be based on your ...

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Showing results 21-40

All JobsData Engineer Salary JobsData Engineer Salary Jobs in Raleigh, NC

Data Engineer Salary information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer salary jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer salary in Raleigh, NC is $126,095.00, 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.

What is the average salary of a data engineer?

The average salary of a Data Engineer varies depending on experience, location, and industry, but in the United States, it typically ranges from $90,000 to $140,000 per year. Entry-level positions may start around $80,000, while experienced data engineers or those in tech hubs like San Francisco or New York can earn upwards of $150,000 or more. Factors such as certifications, advanced degrees, and specialized skills in big data technologies can also influence salary.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in data modeling, ETL (extract, transform, load) processes, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with database systems (SQL/NoSQL), cloud platforms (AWS, Azure, GCP), and data pipeline tools (Apache Spark, Kafka) is typically required, with certifications in these areas being advantageous. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable data infrastructure, support business intelligence, and enable scalable data-driven decision-making.

What are some common challenges data engineers face when working with large-scale data systems?

Data Engineers often encounter challenges related to the scalability and reliability of data pipelines, especially as data volume and variety increase. Ensuring data quality, minimizing downtime, and managing evolving data schemas are frequent hurdles. Additionally, collaborating with data scientists and analysts to understand their requirements and deliver timely, usable datasets can be complex. Staying updated with rapidly changing technologies and best practices is also essential for long-term success in this role.

What is the difference between Data Engineer Salary vs Data Scientist Salary?

AspectData Engineer SalaryData Scientist Salary
Required CredentialsBachelor's in CS, Engineering, or related field; experience with SQL, Python, ETL toolsBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, machine learning
Work EnvironmentData pipelines, database management, cloud platformsData analysis, modeling, predictive analytics
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, finance, marketing

While both roles require strong technical skills and familiarity with data tools, Data Engineers focus on building and maintaining data infrastructure, earning a median salary typically slightly lower than Data Scientists, who analyze data to generate insights and predictive models. Salary differences depend on experience, location, and industry.

Do data engineers make good money?

Data engineers typically earn competitive salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Salaries vary based on experience, location, and industry, but they are generally above average compared to many other tech roles.

What are popular job titles related to Data Engineer Salary jobs in Raleigh, NC?

For Data Engineer Salary jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Salary jobs in Raleigh, NC look for?

The top searched job categories for Data Engineer Salary jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Engineer Salary jobs?

Cities near Raleigh, NC with the most Data Engineer Salary job openings:

Data Engineer Salary jobs near you
Infographic showing various Data Engineer Salary job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Cloud Data Architect (Full-time Remote, NC Based)

Alliance

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.
This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.
Responsibilities & Duties
Data Architecture Design and Modelling
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy
  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement
  • Define reference architectures, coding standards, and reusable patterns for data engineering teams
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security
  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication
  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements
Education & Experience
Bachelor's degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.
The following technical certification (or comparable) is required:
• Databricks Certified Data Engineer Professional
The following technical certification (or comparable) is preferred:
• Azure Security Engineer Associate (AZ-500)
Knowledge, Skills, & Abilities
  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.
Salary Range
$118-$150,872/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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