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Data Scout Jobs (NOW HIRING)

Skip Scout For The Dc Team Do you love riding e-scooters around the city? If so, we have an awesome ... We helped create the first scooter sharing permit in the US, were the first to share data on ...

Ensure data is accessible, trustworthy, and usable Location & Travel Expectations : * This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC . * This role requires 4-5 ...

Company Description Scout ET Inc (Our Staffing platform & MJ TALENT (Software Development) Our team ... Data Analyst with Power BI Report Redmond, WA Long Term Responsibilities: Build effective and ...

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

About the Team The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives ...

Our first product, Scout SIS, is a student information system (SIS). At its core, the SIS is a database for schools to store student and staff data. Every school has an SIS, but it's one of the ...

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American ... Perform data analysis and vehicle testing using tools such as INCA or MATLAB/Simulink to validate ...

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Data Scout information

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$46K

$165K

$243.5K

How much do data scout jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data scout in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data scout position, and why are they important?

To excel as a Data Scout, you need strong analytical skills, attention to detail, and a background in data management or research, often supported by a degree in a related field such as information science or statistics. Familiarity with data collection tools, spreadsheet programs like Excel, and experience with databases or data visualization software is often advantageous. Effective communication, curiosity, and the ability to work independently or as part of a team are important soft skills for this role. These skills enable Data Scouts to efficiently gather, validate, and present high-quality data that supports decision-making and business strategy.

What are the typical responsibilities of a data scout?

As a Data Scout, your daily responsibilities often include identifying, collecting, and verifying data from various sources to support organizational objectives. You may analyze datasets for accuracy, update databases, and prepare summary reports for project teams or stakeholders. Collaboration with analysts, researchers, or business development teams is common, as findings need to be communicated clearly and integrated into broader strategies. In this role, adaptability and strong organizational skills are key, as tasks and priorities can shift based on project needs or emerging data trends.

What is a data scout?

A Data Scout is responsible for gathering, analyzing, and verifying data from various sources to support decision-making, research, or business insights. This role often involves collecting real-world or digital data, ensuring its accuracy, and organizing it for use in databases, reports, or AI models. Data Scouts are commonly employed in industries like sports analytics, market research, and technology. Their work helps organizations make informed decisions by providing reliable and up-to-date data.

More about Data Scout jobs

What cities are hiring for Data Scout jobs?

Cities with the most Data Scout job openings:

What are the most commonly searched types of Data Scout jobs?

The most popular types of Data Scout jobs are:

What states have the most Data Scout jobs?

States with the most job openings for Data Scout jobs include:

Infographic showing various Data Scout job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Manager, Data Platform - AI Engineering

Scout Motors

Charlotte, NC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days 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