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Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops and implements advanced data engineering frameworks. * Recommends development testing tools and methodologies and reviews and validates test plans. * Responsible for QA readiness of software ...

PROLIM Global Corporation

Senior Azure Data Engineer

Cary, NC · On-site

$107K - $128K/yr

We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Kafka, Spark, SQL, Python, and PySpark . The ideal ...

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$103K - $124K/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 ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

First Citizens Bank

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

We are seeking an experienced Senior Data Engineer to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision ...

Keebler Health

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 ...

Pwc

Data Engineer - Senior Manager

Raleigh, NC

$124K - $280K/yr

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 ...

LexisNexis

Consulting Data Engineer

Raleigh, NC

$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 ...

RELX

Consulting Data Engineer

Raleigh, NC

$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 ...

RELX Group plc

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 ...

LexisNexis

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 ...

LexisNexis

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 ...

Deloitte

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 projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

The Data Engineer will serve as a liaison to platform user groups ensuring successful implementation of capabilities on the new platform. The Lead Data Engineer will also take a lead role on ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

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 ...

InterSources Inc

NC FAST Data Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Senior Data Engineer to support the development and maintenance of the Child Welfare System, PATH NC, focusing on data conversion activities and ensuring data integrity.

Focused HR Solutions

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 ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Raleigh, NC

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 Sep 14, 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.

What is a data engineer?

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

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

The top searched job categories for 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:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 3% Internship, 79% Full Time, 3% Part Time, and 15% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Principal Data Engineer

Durham, NC • On-site

Fidelity Investments
Investment Management and Consulting Services • 10K+ employees
Learn more about Fidelity Investmentsexternal

$110K - $132K/yr

Full-time

Re-posted 7 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Builds data and reporting platforms in Cloud using Big Data technologies -- Hadoop, HBase, MongoDB, and Cassandra. Performs coding in Java, Scala, and Python. Automates Continuous Integration/Continuous Delivery (CI/CD) pipelines, using Git and Jenkins. Performs Extract, Transform, Load (ETL) data integration and develops data movement design patterns, using Informatica. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management. Collaborate with business teams to gather and document functional requirements for data ingestion in Data Lake. Proactively engage with analysts/data modelers to understand requirements and deliver high-quality solutions.
Primary Responsibilities:
  • Participates in architecture design teams.
  • Defines and leads enterprise-level data architecture strategies.
  • Develops and implements advanced data engineering frameworks.
  • Recommends development testing tools and methodologies and reviews and validates test plans.
  • Responsible for QA readiness of software deliverables.
  • Develops comprehensive documentation for multiple applications or subsystems.
  • Establishes full project life cycle plans for complex projects across multiple platforms.
  • Responsible for meeting project goals on-time and on-budget.
  • Advises on risk assessment and risk management strategies for projects.
  • Plans and coordinates project schedules and assignments for multiple projects.
  • Acts as a primary liaison for business units to resolve various project/technology issues.
  • Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
  • Advises senior leadership on data infrastructure and technology solutions.
  • Mentors junior engineers.
  • Performs independent and complex technical and functional analysis for multiple divisional initiatives.
  • Develops innovative solutions to support scalable, secure, and high-performance data environments.

Education and Experience:
Bachelor's degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Or, alternatively, Master's degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") creating enterprise data lakes used for analytics, Artificial Intelligence (AI), and Machine Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing techniques and solutions - Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python, Informatica, Azure Data Factory, or AWS services.
  • DE designing complex dimensional models using ER Studio Data Architect with appropriate company taxonomy including Client/Customer, Account, Product and Supply Chain; and creating conceptual, logical and physical models according to relevant standards using single shared unique identifier across all common entities to deliver scalable and high performing solutions.
  • DE designing, developing, and supporting data driven solutions and data warehouses, using Snowflake, AWS, Microsoft Azure, Python, or Azure Data Factory; creating data visualization using BI Reporting tools -- Tableau or Microsoft Power BI; deploying code changes using Continuous Integration/Continuous Delivery (CI/CD) tools - GitHub or Azure Pipelines; and establishing data governance, cataloging, and change management practices using Alation or Collibra.
  • DE creating projects stories, backlogs, and references using enterprise tools - JIRA, Confluence, or SharePoint -- to execute project deliverables; and providing project management for Scrum teams -- creating and project managing business, design, development, and test stories -- according to Agile methodologies.

#PE1M2
#LI-DNI
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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