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First Data Jobs in West Virginia (NOW HIRING)

Experian

$59 - $76/hr

Mentor engineers across the organization in your areas of expertise, with a focus on first ... Experience with data modeling, schema design, and data quality as platform engineering concerns.

Dscout

AI Data Engineer

Charleston, WV · On-site

$106K - $127K/yr

Own data quality as a first-class concern across ingestion, modeling, and reporting. Catch problems before they reach a model, a dashboard, or a user, and fix them * Build and ship production AI ...

Hagerty

Senior Data Scientist

Charleston, WV

Build identity resolution across first-party and third-party data sources, stitching member, household, vehicle, and behavioral signals from auto insurance and subscription touchpoints into a ...

GDIT

Senior Data Scientist - Machine Learning

WV · On-site +1

No As the Senior Data Scientist for Machine Learning supporting the Healthcare Fraud Prevention Partnership (HFPP), you will be the first dedicated machine learning practitioner at the Trusted Third ...

The Nielsen Company

Build reusable data pipelines and ETL workflows that allow custom solutions to be delivered ... first time. #LI-LS1 Additional Information Enabling your best to power a better media future.

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Showing results 21-40

All JobsFirst Data JobsFirst Data Jobs in West Virginia

First Data information

See West Virginia salary details

$35.6K

$127.8K

$188.5K

How much do first data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for first data in West Virginia is $127,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $131,600.00 per year, depending on experience, location, and employer.

What is a First Data?

A First Data job typically refers to a position at First Data Corporation, a global payment technology solutions company that provides services like payment processing, point-of-sale solutions, and merchant services. Employees at First Data may work in roles related to technology, customer support, sales, finance, or business operations. First Data jobs are known for supporting the secure and efficient movement of money and data between consumers and businesses. The company has merged with Fiserv, so many positions are now listed under the Fiserv brand.

What are the key skills and qualifications needed to thrive as a payments processing specialist at First Data?

To thrive as a Payments Processing Specialist at First Data, you need strong analytical abilities, attention to detail, and a background in finance or business, often requiring a relevant degree or equivalent experience. Familiarity with payment processing platforms, risk management tools, and industry compliance systems like PCI DSS is essential. Excellent problem-solving skills, customer service orientation, and effective communication help you address client needs and resolve transaction issues efficiently. These skills ensure secure, accurate, and compliant transaction handling, which is critical in the fast-paced payments industry.

What are the typical career advancement opportunities for someone working at First Data in a client services role?

At First Data, professionals in client services roles often have clear pathways to advance their careers. Starting as a client service representative, you can progress to team lead or supervisor positions, and later move into management or specialized roles such as account management or product support. The company values internal mobility and encourages employees to take advantage of training programs and mentorship opportunities. Career advancement is often supported by strong performance, networking within the organization, and demonstrated expertise in payment processing solutions.

What is the difference between First Data vs Payment Processor?

AspectFirst DataPayment Processor
Credentials/CertificationsPayment industry certifications, such as PCI DSS complianceSimilar certifications, often required for compliance
Work EnvironmentFinancial services, merchant services, office settingsFinancial technology, merchant services, office environments
Employer & Industry UsageMajor provider of payment processing solutionsBroad term for companies handling electronic payments
Search & Comparison IntentUnderstanding services offered by First DataComparing different payment processing providers

First Data is a leading payment processor specializing in merchant services and electronic payment solutions. A payment processor is a broader term that includes any company facilitating electronic transactions. While First Data is a specific provider, payment processor refers to the industry category. Customers often compare First Data with other payment processors to find the best fit for their business needs.

What job categories do people searching First Data jobs in West Virginia look for?

The top searched job categories for First Data jobs in West Virginia are:

What cities in West Virginia are hiring for First Data jobs?

Cities in West Virginia with the most First Data job openings:

First Data jobs near you
Infographic showing various First Data job openings in West Virginia as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $127,752 per year, or $61.4 per hour.

Staff Platform Architect, Data & AI (Remote)

Experian

Remote

$59 - $76/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

About the Role:

We are looking for a Staff Platform Architect to join our Data & AI Platform Architecture team. We are a small, high-use group that shapes technology strategy across analytics products, AI/ML enablement, and data infrastructure at enterprise scale.

This is a role for someone with deep fundamentals in data, analytics, and MLOps platforms. You should also know how to evolve them to serve both humans and AI agents, internal and external, with equal thoughtfulness.

You will extend and evolve a set of existing platforms including our MLOps infrastructure, batch platform, analytics stack, and managed analytics offerings, while leading greenfield design of our AI-ready data foundation. You will report to the Sr. Director of Platform Engineering. This is an individual contributor position.

What you'll do here

  • Evolve our existing batch, analytics and MLOps platforms improving reliability, cost, and operational efficiency.
  • Develop the infrastructure for our semantic and ontology layers. (including authoring and governance tooling, lifecycle management, and catalog integration)
  • Design the usage infrastructure, including APIs, libraries, and services. This infrastructure should make these layers usable by any downstream consumer, such as internal users, client-facing products, and AI agents. The infrastructure should also include permission-aware semantic discovery.
  • Guide technology adoption across engineering teams by making the right architectural choices well-reasoned and easy to follow.
  • Lead focused prototyping and R&D efforts with analytics product and engineering teams to validate new AI and analytics capabilities before broader platform investment.
  • Mentor engineers across the organization in your areas of expertise, with a focus on first-principles thinking, system design, and product awareness.
Qualifications
  • 10+ years of software engineering experience, with a deep focus on data platforms, analytics infrastructure, and AI/ML systems at enterprise scale.
  • Bachelor's Degree or higher in science, technology, engineering or related field
  • Experience building or operating MLOps platforms from data access and feature engineering through model deployment and monitoring.
  • Experience with data modeling, schema design, and data quality as platform engineering concerns.
  • Hands-on experience with AI agent-based architectures for governed data access, semantic discovery, and retrieval over enterprise data assets.
  • Experience designing federated catalog architectures that deliver unified data access across platforms and data silos.
  • Experience with security, compliance and governance considerations for AI/ML workloads, including data residency and access control.
  • Experience with distributed computing, cloud-native infrastructure, and the cost and operational dynamics of running large-scale data workloads on public clouds such as AWS.
  • Comfort with infrastructure as code and operating production workloads
  • Demonstrated experience managing and evolving shared platform architectures over time.
  • Experience driving architectural agreement across teams through technical influence, reference architectures, and hands-on collaboration, rather than through formal authority alone.
  • Background in credit risk, financial services, or other regulated data domains where governance and compliance constraints shape platform design.
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
  • #LI-Remote

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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