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Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Q2 Software, Inc.

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions * Write maintainable code; participate in code reviews; and help improve ...

First Citizens Bank

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

The ideal candidate will have expertise in cloud data engineering, data warehousing, Snowflake, dbt, Python, and ETL/ELT technologies, with proven experience leading teams and driving data ...

Q2

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions * Write maintainable code; participate in code reviews; and help improve ...

Bespoke Labs

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Bespoke Labs

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Q2

Data Engineer

Cary, NC · On-site

$112K - $135K/yr

The Data Engineer will take ownership of building and operating data architecture to support fraud solutions, ensuring data reliability and accessibility for fraud detection and prevention. This role ...

Kognitiv Edge

Data Engineer III

Durham, NC · On-site

The ideal candidate is an experienced engineer capable of architecting scalable data solutions, leading complex integration efforts, andestablishingthe data foundations required for advanced ...

Verdesian Life Sciences U.S., LLC

Data Engineer

Cary, NC · On-site

$107K - $128K/yr

Minimum 3 years' experience as a data engineer, business systems analyst or a similar role (Required) * BS degree in computer science, information systems, or related field (Required) * Proficiency ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Manages data services hosted on the operational data stores and file-based interfaces. * Conferswith systems analysts and other software engineers/developers to design systems. * Gathers information ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Manages data services hosted on the operational data stores and file-based interfaces. * Confers with systems analysts and other software engineers/developers to design systems. * Gathers information ...

Fidelity Investments

Principal Data Engineer

Durham, NC

$110K - $132K/yr

... data modeling, development support and engineering. Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS). Primary Responsibilities: * Designs and ...

Kognitiv Edge

Data Engineer II

Durham, NC · On-site

Kognitiv Edge is seeking aData Engineer IIto help build andmaintainthe data infrastructure that powers our human performance platforms. You will work alongside senior engineers, software developers ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... data modeling, development support and engineering. Performs database administration services for Cloud database platforms -- Amazon Web Services (AWS). Primary Responsibilities: * Designs and ...

Fidelity Investments

Principal Data Engineer

Durham, NC

$110K - $132K/yr

Develops and maintains databases using principles of Database Warehousing and Data mart concepts. * Confers with systems analysts and other software engineers/developers to design systems and to ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develops and maintains databases using principles of Database Warehousing and Data mart concepts. * Confers with systems analysts and other software engineers/developers to design systems and to ...

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

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 ...

Bertelsmann-Jobs

Data Engineer I

Morrisville, NC · Hybrid

$107K - $128K/yr

You will partner with Revenue Technology colleagues, the Salesforce architecture team, and central data engineering to translate business needs into reliable data products. WHAT YOU'LL BE DOING:

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/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 ...

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Showing results 1-20

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 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.
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 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

Q2 Software, Inc.

Cary, NC • On-site

$106K - $127K/yr

Full-time

Medical

Posted 19 days ago

Job description

As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
The Job At-A-Glance:
In this role, you will take ownership for building and operating our data architecture to support new and evolving fraud solutions. You'll play a key role in ensuring data is reliable, scalable, and accessible to power models, agents, and UIs directly impacting our customers' ability to detect and prevent fraud.
This is an opportunity to work on production systems with real-world impact while continuing to grow your skills in data engineering, cloud platforms, and distributed systems.
A Typical Day:
  • Design, build, and maintain scalable data pipelines and workflows in a cloud environment
  • Deliver clean, well-structured datasets to support fraud analytics, machine learning models, and agentic solutions
  • Contribute to improving our data architecture, including ingestion, storage, and access patterns
  • Own data operations by monitoring data workflows, triaging failures, and resolving data issues
  • Enhance observability and performance by implementing monitoring and optimizing pipelines for reliability, scalability, and cost efficiency
  • Partner with product managers, data scientists, and engineers to translate fraud and risk requirements into data solutions
  • Write maintainable code; participate in code reviews; and help improve testing, deployment, and documentation standards

Bring Your Passion, Do What You Love. Here's What We're Looking For:
  • Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Experience building and maintaining data pipelines and workflows in production environments
  • Proficiency in SQL and working with relational and/or analytical data stores
  • Experience with Python
  • Familiarity with data modeling, transformation, and orchestration concepts
  • Experience with data warehouses and distributed data processing systems
  • Experience with version control (e.g., Git) and CI/CD practices
  • Ability to troubleshoot data issues, debug pipelines, and work through ambiguous problems

Nice to Have
  • Experience with tools such as Apache Airflow, dbt, Kafka, Airbyte, or FiveTran
  • Experience with Snowflake or similar cloud data warehouses
  • Experience with SQL Server, PostgreSQL, or NoSQL systems like DynamoDB
  • Familiarity with infrastructure as code tools (e.g. Terraform)
  • Experience with Docker and/or Kubernetes
  • Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark

RESPONSIBILITIES
• Production Support: Start the day by reviewing production data pipeline executions, investigating and resolving failures
• Development: Build and orchestrate data pipelines, defining data flow, transformations, and dataset relationships
• Observability: Monitor and optimize data pipelines for performance and efficiency
• Collaboration: Work closely with teams and stakeholders to understand data requirements and ensure platform solutions meet business needs
EXPERIENCE AND KNOWLEDGE
• Typically requires a Bachelor's degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience
• Advanced knowledge of data transformations, data orchestration and pipelines, data replication
• Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage and compute platforms
• Experience with some of the following technologies is a plus:
o Data Movement and Pipelines: Apache Airflow, dbt, Kafka, AirByte
o Data Warehouse: Snowflake
o Databases: SQL Server, Postgres, DynamoDB
o Languages: Python, C#, Golang, Bash, SQL
o CI/CD tools and infrastructure as code: GitLab, Azure DevOps, Terraform, Argo CD
o Containerization: Kubernetes, Docker
o Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
This position requires fluent written and oral communication in English.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Health & Wellness
  • Hybrid Work Opportunities
  • Flexible Time Off
  • Career Development & Mentoring Programs
  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community Volunteering & Company Philanthropy Programs
  • Employee Peer Recognition Programs - "You Earned it"

Click here to find out more about the benefits we offer.
Our Culture & Commitment:
We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (see more). We believe in making an impact-in the industry and in the community.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.
Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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