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Data Engineer Jobs in Raleigh, NC (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Consulting Data Engineer to join our team in Raleigh, NC . This position provides assistance and input to management, develops and leads large multi-functional development activities ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

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 data solutions that support our business goals. In this role, you will be aligned with a specific ...

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

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 data solutions that support our business goals. In this role, you will be aligned with a specific ...

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Data Engineer ETL

Durham, NC · On-site

$110K - $132K/yr

Job Summary We are seeking a highly motivated Data Engineer (ETL) to design, develop, and maintain scalable data engineering solutions supporting enterprise data aggregation and integration ...

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

Data Engineer and Modeler

Durham, NC · On-site

$110K - $132K/yr

Data Engineer and Modeler Category: Software Development/ Engineering Main location: United States, North Carolina, Durham Position ID:J0726-0092 Employment Type: Full Time Position Description: We ...

New

Data Engineer - Bilingual Mandarin required

Cary, NC · On-site

$106K - $127K/yr

As a US-side data engineer, you will participate in multi-source data ingestion, data lakehouse and warehouse development, data quality governance, data platform capability building, and AI Agent ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you will be a key contributor to a high-profile migration project, transitioning our legacy Cornerstone ...

Senior Data Engineer

Durham, NC · On-site

$102K - $139K/yr

Labcorp is seeking a Senior Data Engineer to join our team in Durham, NC. Job Responsibilities: * Design and implement end-to-end data engineering solutions by leveraging the full suite of Databricks ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

Join the Magnus Lake House team within Optum Insight as a Senior Data Engineer. In this role, you will be a key contributor to a high-profile migration project, transitioning our legacy Cornerstone ...

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio ...

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Showing results 1-20

Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for data engineer 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Raleigh, NC? The most popular types of Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Engineer jobs? Cities near Raleigh, NC with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Data Engineer - Senior Manager

Data Engineer - Senior Manager

Pwc

Raleigh, NC

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 hours ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions.
Responsibilities
- Design and implement thorough data architecture strategies
- Lead large-scale projects and innovate processes
- Maintain operational excellence and client interactions
- Develop and document data models and data flow diagrams
- Adhere to data governance and security policies
- Collaborate with business stakeholders to translate data requirements into technical solutions
- Drive project success through strategic advising and problem-solving
- Foster a diverse and inclusive team environment
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus
- Designing and implementing thorough data architecture strategies
- Developing and documenting data models and data flow diagrams
- Maintaining data architecture compliance with governance and security policies
- Collaborating with stakeholders to translate data requirements into solutions
- Evaluating and recommending new data technologies and tools
- Leading data strategy engagements providing thought leadership
- Developing leading practices for Data Engineering, Data Science, and Data Governance
- Architecting and implementing cloud-based solutions meeting industry standards

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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