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Exempt Data Engineer Jobs in North Carolina (NOW HIRING)

IT & Data Manager

Charlotte, NC · On-site

$95K - $125K/yr

On-Site / Hybrid Employment: Full-Time, Exempt Salary Range: $95,000 - $125,000 Reports To: CEO / ... Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst ...

IT & Data Manager

Charlotte, NC · On-site

$95K - $125K/yr

On-Site / Hybrid Employment: Full-Time, Exempt Salary Range: $95,000 - $125,000 Reports To: CEO / ... Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst ...

IT & Data Manager

Charlotte, NC · On-site

$100 - $125/hr

On-Site / Hybrid Employment: Full-Time, Exempt Salary Range: $95,000 - $125,000 Reports To: CEO / ... Hire and manage a small IT team: Database/Integration Engineer, E-Commerce Developer, Data Analyst ...

About the Organization Outsource is a leading provider of voice and data communication support ... Exempt/Non-Exempt Non-Exempt Full-Time/Part-Time Full-Time Hiring Manager(s) Mark Griffin Number ...

... STATUS Nonexempt ELIGIBILITY FOR EMPLOYMENT CONTRACT No WORK WEEK SCHEDULE Monday-Friday ... programming, or equivalent work experience; Three years of experience in database management or ...

... STATUS Nonexempt ELIGIBILITY FOR EMPLOYMENT CONTRACT No WORK WEEK SCHEDULE Monday-Friday ... Associate's degree in information systems, business administration, programming, or equivalent work ...

Data Analyst

Cary, NC · On-site +1

... STATUS Nonexempt ELIGIBILITY FOR EMPLOYMENT CONTRACT No WORK WEEK SCHEDULE Monday-Friday ... Associate's degree in information systems, business administration, programming, or equivalent work ...

... STATUS Nonexempt ELIGIBILITY FOR EMPLOYMENT CONTRACT No WORK WEEK SCHEDULE Monday-Friday ... programming, or equivalent work experience; Three years of experience in database management or ...

Data Analyst

Cary, NC · On-site +1

... STATUS Nonexempt ELIGIBILITY FOR EMPLOYMENT CONTRACT No WORK WEEK SCHEDULE Monday-Friday ... Associate's degree in information systems, business administration, programming, or equivalent work ...

NC · On-site

... Engineering | Environmental | Sustainability | and Human Capital. We help forward-thinking clients ... OT on a Exempt Contract Contingent Basis Engagement Team | Sr Technical Writer Labor Category - Mid ...

MLOps Automation Senior Lead Engineer

Charlotte, NC · On-site +1

$101K - $133K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... Financial Services background Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible ...

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Exempt Data Engineer information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do exempt data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for exempt data engineer in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What is an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

What are the most commonly searched types of Data Engineer jobs in North Carolina?

The most popular types of Data Engineer jobs in North Carolina are:

Manager, Data Platform - AI Engineering

Scout Motors

Charlotte, NC

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 hours ago


Job description

What you'll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: 

The Manager, Data and AI Engineering is a hands-on technical leader responsible for leading and developing a team of Data Engineers and AI Engineers while actively contributing to the design, development, and deployment of enterprise Data and AI solutions. 

This person will lead multiple agile teams and drive the development of modern data platforms, AI-enabled applications, intelligent agents, and Generative AI solutions while ensuring delivery excellence, scalability, security, governance, and operational support. 

  • Lead, mentor, and develop a team of Data Engineers, AI Engineers, and technical consultants.  
  • Establish team goals, performance expectations, career development plans, and technical growth initiatives.  
  • Foster a high-performing engineering team environment focused on innovation, collaboration, quality, and continuous improvement.  
  • Provide technical guidance, coaching, and code reviews across Data Engineering and AI initiatives.  
  • Participate in recruiting, hiring, onboarding, and workforce planning activities.  
  • Architect, design, develop, and support scalable data platforms utilizing Databricks and cloud-native technologies.  
  • Lead development of enterprise data pipelines and ETL/ELT processes supporting analytics, AI, and operational reporting.  
  • Drive data quality, governance, lineage, metadata management, and security practices.  
  • Lead the design and deployment of AI and Generative AI solutions that drive measurable business outcomes.  
  • Evaluate emerging AI technologies and recommend opportunities for business adoption aligned with team and enterprise objectives. 
  • Collaborate with Enterprise Architects to define platform standards and reference architectures.  
  • Ensure Data and AI solutions align with enterprise governance, cybersecurity, privacy, and compliance requirements.  
  • Drive platform scalability, reliability, resiliency, and operational readiness. 

Location & Travel Expectations: 

  • This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC. 
  • This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
  • Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
What you'll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring:

  • Bachelor's degree in computer science, information technology, or related field or equivalent work experience. 
  • 7+ years of experience in Data Engineering, Software Engineering, AI Engineering, or related technical disciplines.  
  • 3+ years of experience leading technical teams and Agile delivery teams.  
  • Strong hands-on experience designing and developing enterprise data solutions.  
  • Strong experience leading Data Engineering and AI Engineering teams.  
  • Experience managing cross-functional technical teams through full software development lifecycles. 
  • Experience with AI tools and Platforms such as Databricks Data/AI Platform, Open WebUI, n8n, Pinecone, LangChain, LangGraph 
  • Experience with cloud platform technologies such as AWS or Azure, Docker, Kubernetes, CI/CD Pipelines, Monitoring and Observability Platforms (Data dog) 
  • Experience with Generative AI Solution Development, Retrieval-Augmented Generation (RAG), Prompt Engineering, AI Agents and Agent Frameworks, Vector Databases (pinecone) and Large Language Models (LLMs) 
What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting - with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

  • Competitive insurance including:
    • Medical, dental, vision and income protection plans
  • 401(k) program with:
    • An employer match and immediate vesting
  • Generous Paid Time Off including:
    • 20 days planned PTO, as accrued
    • 40 hours of unplanned PTO and 14 company or floating holidays, annually
    • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
    • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave
  • Corporate Vehicle Program with:
    • Eligibility for 1 assigned vehicle
    • A mobility stipend
Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial base salary range = $160,000.00 - $192,500.00

Internal leveling code: M8