1

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

As a Software Developer Engineer in Test, this is your chance to work alongside a group of talented ... Naturally, you are as comfortable solving our customer's AI data lake challenges by writing new ...

V-Force Developer Opportunity VAST Data is looking to add a V-Force Developer to our growing team ... About the Role: We're looking for an experienced software developer with strong skills in C, C ...

Senior Software Engineer - V-Force

Raleigh, NC · On-site +1

$119K - $157K/yr

Description VAST Data is looking to add a V-Force Developer to our growing team! This is a unique ... About the Role: We're looking for an experienced software developer with strong skills in C, C ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

... analyze data, and communicate findings. This role will require the ability to work cross ... Time will also be spent collaborating with software engineering teams on bug fixes, code ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Data Engineer Location : Raleigh, NC Onsite (Must be local) Duration : 12+ Months Description We have some urgent requirements with at least 5 years' experience as Data Engineer for the development ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

... analyze data, and communicate findings. This role will require the ability to work cross ... Time will also be spent collaborating with software engineering teams on bug fixes, code ...

Data Engineer

Cary, NC

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Morrisville, NC · On-site

$107K - $128K/yr

The Role As a Data Engineer , you will lead data engineering efforts for the RF Network Optimization and Reporting team by building and modernizing scalable data pipelines and integration frameworks.

Data Engineer

Morrisville, NC · On-site

$107K - $128K/yr

The Role As a Data Engineer , you will lead data engineering efforts for the RF Network Optimization and Reporting team by building and modernizing scalable data pipelines and integration frameworks.

Data Engineer

Raleigh, NC

$111K - $133K/yr

The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking functions. You ...

Senior Software Engineer

Raleigh, NC · On-site

$180K - $220K/yr

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... Why This Role Matters As a Senior Software Enginer, you ensure the engineering organization ...

next page

Showing results 1-20

Data Software Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data software engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data software 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.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.
What are popular job titles related to Data Software Engineer jobs in Raleigh, NC? For Data Software Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Software Engineer jobs in Raleigh, NC look for? The top searched job categories for Data Software Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Software Engineer jobs? Cities near Raleigh, NC with the most Data Software Engineer job openings:
Infographic showing various Data Software Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $126,088 per year, or $60.6 per hour.

Software Engineer in Test

Data Bridge Consultants

Cary, NC

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 hours ago


Job description

Position Summary:
The Software Engineer in Test (SDET) is responsible for developing, implementing, and sustaining complex test automation using Agile automation techniques and tools. This person will implement provide for automated testing and monitoring solutions in a continuous integration environment by working closely with developers, architects, & subject matter experts. The Software Engineer in Test will be accountable for the overall quality and stability of supported systems. Additionally, he/she will ensure a seamless transition from QA and Staging environments to production. The SDET will be working in the within the Quality Assurance department supporting the development teams with their QA activities. The SDET will also work on quality initiatives as directed by the QA Manager. The SDET responsibilities include, but are not limited to:

  • Design, code and maintain automated scripts, functions/function libraries, database verification, and data-driven tests
  • Work with development teams to reduce manual/repetitive tasks and assist with writing test automation cases
  • Plan, drive and contribute to the development and continued improvements to the automation framework(s) with the goal of building smoke, regression, continuous integration test coverage, functional testing, reducing testing time and improving defect identification
  • Follow best practices when developing automation code including comment documentation, maintainability, and data-driven development
  • Create test plans and prioritize testing work based on business requirements for each sprint
  • Provide accurate estimates for user stories and automation test plans for each sprint
  • Document, track, and report on product defects
  • Participate in requirement reviews and design spec reviews to contribute quality requirements and ensure testability
  • Participate in automation and manual test plan reviews and code reviews
  • Troubleshoot environmental set-up issues related to automation
  • Responsible for working with Operations to manage and support the Test Environment & QA Toolsets
  • Keep current with quality testing, trends, techniques, tools and processes
  • Evangelizing quality processes and best practices to improve and measure the quality of products delivered to customers
  • Working with QA Manager and Application Architects on strategic initiatives
  • Recommending continuous process improvement ideas to QA Manager and Product teams

Job Accountability

Responsibilities

Key Measures

Essential Functions

• • • • •

• •

Design and implement automated test frameworks to support development team application test automation

Develop and execute automated tests using new & existing frameworks and tools

Develop test plans including recommended test approach, test environment requirements, and data strategies

Participate in Agile planning activities, such as user story creation, point estimation, & related defects

Collaborate and provide feedback on user story details related to clarifying requirements, testability, acceptance criteria Collaborate with business/customer representative/SME in determining acceptance criteria for user stories

Coach other team members to develop automation code with

standard coding practices and reusable libraries

Log defects following appropriate QA practices

Disseminate QA summary reports as needed (e.g. Pre-imp) Provide regular status updates to project team on QA progress Provide regular status updates to QA Manager regarding progress. Responsible for guiding team to drive automation of all test automation candidates

Work closely with product team to identify and resolve issues and suggest streamlining defect process within the product development lifecycle

Create and maintain standard coding documentation

Works with QA Manager to define a working automation model for individual product(s) as well as integrated product(s) and enterprise services

Work with Operations to manage and address issues with the supported QA Environment.

Responsible for creation and maintenance of the company’s test Frameworks.

• Measurable objective metrics

• Audits QA artifact procedures as directed

• Recommend strategic ideas and suggestions to the QA Manager for consideration and inclusion

• Create and/or set up test environments and test data

• Audits QA validation and verification procedures as directed

• Ensure application meets documented requirements using defined quality processes and best practices

• Works with QA Manager on enhancing test artifact procedures

Non-Essential Functions

Secondary tasks and duties (desirable, but not primary focus of position)

- % of time for secondary non-essential tasks

• Measurable objective metrics

Values

• Collaboration: We collaborate with our teams and our customers to get the job done, respecting individual ideas and contributions and moving forward in pursuit of shared goals.

• Results: We deliver on our promises to create value for the freight rail industry through talented people, good ideas, business leadership, and great technology.

• Service: We serve the changing needs of our customers and our industry to enhance the value they bring to our community, the environment and our economy.

• Measurable objective metrics

Success Factors:

Knowledge/Skills/Abilities

Minimum Requirements

• Ability to lead multiple projects simultaneously

• Ability to explain concepts with technical and non-technical staff

• Work efficiently within assigned project schedules

• Work effectively with all co-workers; team player

• Communicate effectively and in a professional manner

• Exhibit ability to learn complex business functions with limited guidance • 3-5+ years - Java

• 3+ years - Selenium WebDriver with Java

• 3+ years - SQL

• 3+ years - SOAP & REST Webservices Testing (SOAP UI or alternate tool)

• 3+ years of Non-functional Test Experience

• 3+ years of experience using versioning software like TFS, git.

• 2+ years of experience with full software development life cycle and software engineering best practices.

• Ability to adapt to changing priorities and technologies in a highly multi-tasked environment • Must be self-motivated and results driven, with attention to detail

Additional Requirements:

Education

Experience

Certification/Training

• Bachelor’s degree in Computer Science or equivalent field desired

• 7+ years in a development role

• 3+ years’ experience with automated test tools

• Remain abreast of current technologies and take initiative to acquire additional knowledge to prepare for additional responsibilities

• Demonstrated understanding of SDLC and QA processes and best practices in accordance with Agile/SCRUM practices

• Exhibit ability to learn complex business functions

Physical Requirements

Sedentary work: assignment involves sitting at workstation (desk) most of the time (up to 8 hours) with only occasional walking and/or standing

Keyboarding: Primarily using fingers for typing

Talking: Expressing or communicating verbally through use of spoken words (accurately conveying detailed or important spoken instructions to others)

Hearing: Ability to receive detailed information through oral communication and to make discriminations in sound.

Visual: Through close visual acuity, required to perform activities such as: preparing and analyzing data and figures; transcribing; viewing computer terminal; extensive reading (with or without correction)

Environment: work is performed within an office setting and therefore no substantial exposure to adverse environmental conditions (i.e. extreme heat, cold, noise, etc.)