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First Data Jobs in Texas (NOW HIRING)

Stefanini Group

AI Engineer

Dallas, TX · On-site

AI-First Data Platforms Lead - Executive Summary Location: Dallas TX-Onsite • Own the enterprise database platform strategy, architecture, governance, and technology roadmap. • Lead the ...

Lever Demo 2

Customer Success Rep

Arlington, TX · On-site

Druva is the global leader in Cloud Data Protection and Management, delivering the industry's first data management-as-a-service solution that aggregates data from endpoints, servers and cloud ...

SignaPay

Client Support Specialist

Irving, TX · On-site

$17.25 - $23.25/hr

Must be familiar with TSYS and First Data processing platforms * Working knowledge of security software options and functionality preferred * Experience with Salesforce CRM a plus * Exceptional ...

FIRST SERVICE CREDIT UNION

Data Analyst

Houston, TX · On-site

The Data Analyst aggregates data into decision-ready insights for leadership and executives ... for the purpose of first-level conflict resolution, building relationships, and soliciting ...

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Showing results 21-40

All JobsFirst Data JobsFirst Data Jobs in Texas

First Data information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do first data jobs pay per year?

As of Sep 9, 2026, the average yearly pay for first data in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 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 are popular job titles related to First Data jobs in Texas?

For First Data jobs in Texas, the most frequently searched job titles are:

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

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

What cities in Texas are hiring for First Data jobs?

Cities in Texas with the most First Data job openings:

First Data jobs near you
Infographic showing various First Data job openings in Texas as of September 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

AI Engineer

Dallas, TX • On-site

Stefanini Group
IT Services • 10K+ employees
Learn more about Stefanini Groupexternal

Contractor

Posted 10 days ago

Job description

AI-First Data Platforms Lead – Executive Summary

Location: Dallas TX-Onsite 


•                Own the enterprise database platform strategy, architecture, governance, and technology roadmap.

•                Lead the transformation from traditional DBA operations to an AI-first Database Platform Engineering model.

•                Drive AI-powered automation for database provisioning, monitoring, maintenance, performance tuning, and incident management.

•                Build and manage self-service database provisioning capabilities to accelerate engineering delivery and reduce manual effort.

•                Ensure database platforms are secure, scalable, resilient, highly available, and cost-efficient across on-premises and cloud environments.

•                Lead database modernization, consolidation, migration, and cloud adoption initiatives.

•                Establish standards, best practices, governance, and lifecycle management for enterprise database platforms.

•                Implement observability, predictive monitoring, and AIOps capabilities to proactively prevent outages and improve reliability.

•                Partner with Engineering, Infrastructure, Security, Architecture, and Application teams to deliver platform services and approved patterns.

•                Drive adoption of Infrastructure-as-Code (IaC), DevOps, CI/CD, and Database-as-a-Service (DBaaS) capabilities.

•                Ensure compliance, data protection, access controls, backup, recovery, and disaster recovery readiness.

•                Mentor and develop database engineers while fostering a culture of automation, innovation, and operational excellence.

•                Evaluate emerging database, AI, and cloud technologies to continuously improve platform capabilities.

•                Optimize platform costs through standardization, automation, capacity planning, and resource utilization.


Business Impact

*                Reduces operational risk through intelligent automation and standardized platforms.

*                Improves performance, availability, reliability, and security of enterprise databases.

*                Accelerates provisioning from days to minutes through self-service capabilities.

*                Enhances compliance and governance while reducing manual administrative effort.

*                Lowers long-term support and infrastructure costs through automation and platform rationalization.

*                Enables engineering teams to move faster with AI-enabled platform services and expert guidance.

*                Creates a scalable foundation that supports enterprise growth, cloud strategy, and future AI initiatives.

Key Success Measures

*                Significant reduction in manual DBA effort through AI and automation.

*                Faster database provisioning and deployment cycles.

*                Improved uptime, reliability, and recovery capabilities.

*                Reduced incident volume and Mean Time to Resolution (MTTR).

*                Increased adoption of self-service database services.

*                Lower total cost of ownership (TCO) through optimization and standardization

Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR

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