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Remote Ai Data Engineer Jobs in West Virginia (NOW HIRING)

Data Engineer

Charleston, WV · Remote

$106K - $127K/yr

AI-Enabled Engineering: Learn and leverage AI coding tools (such as Claude Code) to optimize ... May be required to work more than 40 hours per week. #LI-CECE #LI-REMOTE Total Rewards and Benefits ...

Data Engineer, Security

WV · On-site +1

$163K/yr

About the role We are hiring a Data Engineer to build our data platform across our Cyber Security ... AI Integration: Build feature stores and data foundations for AI-driven risk scoring and automated ...

Lead Data Engineer

WV · On-site +1

$103K - $123K/yr

... AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

Data Engineer (Remote)

Glen Dale, WV · Remote

$96K - $116K/yr

... data engineering, data migration, or data integration roles * Proven experience executing large ... Experience with Salesforce Document AI / Intelligent Document Processing (IDP) tools for extracting ...

AI/ML Engineer SME

WV · On-site +1

$195K - $264K/yr

Data Science and Data Engineering Job Qualifications: Skills: Artificial Intelligence (AI), Data ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

New

Sr. Data Engineer

Charleston, WV · On-site +1

$106K - $127K/yr

Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development team is a small group and the person filling this role will be an integral part of it. All team ...

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ...

$59 - $76/hr

You will report to the Sr. Director of Platform Engineering. This is an individual contributor ... Hands-on experience with AI agent-based architectures for governed data access, semantic discovery ...

Data Scientist Principal

WV · On-site +1

$144K - $195K/yr

Skills: Artificial Intelligence (AI), Big Data, Data Engineering Certifications: None Experience ... Remote GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

Data Science and Data Engineering Job Qualifications: Skills: Database Performance Tuning ... Remote Working Hours: 40 hours per week, available within the core hours of Monday-Friday 9am to ...

New

Data Scientist Principal

WV · On-site +1

$122K - $165K/yr

Skills: Artificial Intelligence (AI), Machine Learning Methods, Python (Programming Language ... Remote CLEARANCE: Ability to obtain a Public Trust: candidate must have lived in the United States ...

AI/ML Engineer

WV · On-site +1

Data Science and Data Engineering Job Qualifications: Skills: Actionable Insights, Data Analysis ... Remote. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of ...

Data Science and Data Engineering Job Qualifications: Skills: Analytics, End-to-End Testing ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

VP, Data Architecture & Engineering

Charleston, WV · On-site +1

$166K - $214K/yr

... AI-enabled capabilities, and deliver technology that supports OneOncology's operational, and ... Exceptional remote candidates may also be considered. Responsibilities: * Define and execute the ...

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Showing results 1-20

Remote Ai Data Engineer information

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

What are the key skills and qualifications needed to thrive as a remote AI data engineer?

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are popular job titles related to Remote Ai Data Engineer jobs in West Virginia?

For Remote Ai Data Engineer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in West Virginia look for?

The top searched job categories for Remote Ai Data Engineer jobs in West Virginia are:

What cities in West Virginia are hiring for Remote Ai Data Engineer jobs?

Cities in West Virginia with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in West Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Engineer

Cesco

Charleston, WV • Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream business processes across all entities (Crescent, STWY, WMCK, LOWE). You will build and maintain the platform's Bronze/Silver/Gold data layers, ensures a single source of truth for critical data, and provides indirect leadership and mentorship to the SQL Developers on the data platform team. You will partner closely with the BI & Analytics Developer(s) and business stakeholders to ensure the underlying data is accurate, well-governed, and structured to support self-service reporting and advanced analytics.

PRIMARY DUTIES:

  • Pipeline Architecture & Development: Design, build, and maintain scalable ETL/ELT data pipelines that move data from source systems (Eclipse/Epicor, Salesforce, Workday, and others) into the governed data platform.

  • Data Modeling: Develop and maintain data models and schemas (Bronze/Silver/Gold medallion architecture) that eliminate redundant business logic and establish a single source of truth.

  • Platform Modernization: Lead the technical build-out of the data platform in support of the Google Cloud migration, retiring shadow data paths and truncate-and-reload patterns in favor of governed, auditable processes.

  • AI-Enabled Engineering: Learn and leverage AI coding tools (such as Claude Code) to optimize pipeline code, accelerate development, and streamline data delivery processes; evaluate and champion effective AI-assisted engineering practices across the data platform team.

  • Data Quality & Governance: Engineer governance, validation, and error-handling directly into pipeline design rather than relying on downstream policy; monitor pipeline health and proactively resolve data integrity issues.

  • Technical Mentorship & Leadership: Provide indirect leadership, coaching, and code-review guidance to the SQL Developers on the data platform team; set standards and best practices for SQL development and pipeline design.

  • Cross-Functional Collaboration: Partner with the DBA, BI Developer(s), and business stakeholders to translate business and reporting requirements into technical pipeline and data structure designs.

  • Documentation: Maintain clear technical documentation of data flows, transformations, and architecture to support team continuity and knowledge transfer.

  • Security & Compliance: Ensure data pipelines adhere to data handling, access control, and security standards across all four ERP instances.

QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent practical experience.

  • 5-7+ years of experience in data engineering, ETL development, or database development.

  • Experience supporting multi-entity or multi-ERP environments a plus.

  • Strong hands-on expertise in SQL and relational database systems; working knowledge of NoSQL a plus.

  • Experience building and maintaining ETL/ELT pipelines using tools such as SSIS, Azure Data Factory, or equivalent.

  • Experience with cloud data platforms (Google Cloud, Azure, or AWS); Google Cloud experience strongly preferred.

  • Solid understanding of data modeling concepts, including medallion (Bronze/Silver/Gold) or similar layered architectures.

  • Scripting/programming experience (Python or similar) for automation and data transformation a plus.

  • Experience with ERP systems (Eclipse/Epicor) a plus.

  • Demonstrated ability to mentor and guide less-experienced developers.

  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve data integrity issues in complex, multi-system environments.

  • Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Hands-on AI experience a plus.

  • Willingness to learn and apply AI coding tools (e.g., Claude Code) to optimize development work and streamline pipeline delivery.

PHYSICAL DEMANDS:

  • Frequent sitting, standing, and occasional walking.

  • Occasional reaching, twisting, bending.

  • Extensive use of technology, such as phone, computer, and keyboard.

  • Close vision with clear vision at 20 inches or less.

  • Color vision with the ability to identify and distinguish colors.

  • May be required to work more than 40 hours per week.

#LI-CECE

#LI-REMOTE

Total Rewards and Benefits

Crescent Electric's compensation package includes an array of top-tier benefit options, including:

  • Eligibility for health, and dental, vision coverage, 401(k) plan, and flexible spending accounts, subject to plan terms.
  • Eligibility for company-paid benefits such as life insurance, short-term disability, long-term care, and Employee Assistance Program, subject to applicable waiting periods.
  • Excused Absence time off and Paid Time Off (PTO).
  • Company-paid holidays.
  • Other benefits for which you may be eligible includes supplemental life insurance, hospital indemnity, and accident and critical illness benefits with cancer coverage.
  • Eligibility: Employees are eligible for health, dental, vision, and life insurance benefits on the first of the month following 30 days of employment. Employees who are 21 years of age or older will be automatically enrolled in the company's 401(k) plan once they achieve 90 days of employment.

Family Owned. Culture of Quality. Opportunities to Advance.

Crescent is transforming and we are on a missionto power the communities we serve through teamwork and relentless customer focus. We have a visionof uncompromising teamwork committed to becoming the industry leader for our employees, suppliers, and shareholders. At Crescent, you will have the opportunity to develop professionally, grow personally and have the flexibility to balance your life's priorities. Let's serve together. Let's power our communities together. Let's become THE industry leaders...together.

Crescent Electric Supply Company is proudly an Equal Opportunity Employer. Crescent Electric does not discriminate on the basis of age, color, race, national origin, gender, religion, marital status, disability, veteran, military status, sexual identity or expression, sexual orientation, or any other basis prohibited by local, state, or federal law.

Veterans and military spouses are highly encouraged to apply. We recognize and value the unique strengths of the military community in supporting our mission to serve those who have served.

Candidates are subject to pre-employment assessments, Motor Vehicle Record review, criminal background checks, references check, and a post-offer drug screen. Crescent Electric is committed to the full inclusion of all qualified individuals. As part of this commitment, Crescent Electric will ensure that persons with disabilities are provided reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact jobs@cesco.com