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First Data Jobs (NOW HIRING)

$81K - $111K/yr

Our partner is looking for a Senior AI-First Data Engineer based in Netherlands. This role offers the opportunity to shape the future of data engineering within an AI-driven environment. You will ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position ...

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the team building out models and algorithms pivotal to our value proposition. This is a remote position ...

Founding Data Engineer

New York, NY · On-site

$170K - $240K/yr

About FLORA We are building the first creative operating system : an infinite canvas designed for ... You'd be the first data hire, working directly with the CTO and Head of Product to define what data ...

Founding Data Engineer

New York, NY · On-site

$125K - $150K/yr

About FLORA We are building the first creative operating system : an infinite canvas designed for ... You'd be the first data hire, working directly with the CTO and Head of Product to define what data ...

Define schema-first data contract design using JSON Schema/Avro/Protobuf. Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. Own ...

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Define schema-first data contract design using JSON Schema/Avro/Protobuf . * Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. * Own ...

Data Engineer (Contract)

Charleston, SC · Remote

$117K - $140K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Lead Data Engineer | Onsite - Delaware

Wilmington, DE · On-site

$111K - $133K/yr

Define schema-first data contract design using JSON Schema/Avro/Protobuf . * Drive rollout of the data catalog and enforce PII classification and data-regulation compliance across pipelines. * Own ...

Data Engineer (Contract)

Charleston, SC · On-site +1

$107K - $128K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

$59.75 - $76.75/hr

Reviseand communicate the data architecture strategy with cloud-first data management practices * Translate business requirements into data model specifications and forward-thinking data ...

Data Scientist

New York, NY · On-site +1

$140K - $180K/yr

As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing ...

Data Scientist

New York, NY · On-site

$140K - $180K/yr

As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer! This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain BI tools and setup. Help product track the ...

Establish an AI-first data engineering practice: standard patterns, SDKs, and golden paths that use AI to accelerate pipeline development, testing, documentation, and operations across teams. * Stand ...

Establish an AI-first data engineering practice: standard patterns, SDKs, and golden paths that use AI to accelerate pipeline development, testing, documentation, and operations across teams. * Stand ...

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. We're looking for someone who is deeply passionate ...

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Showing results 1-20

First Data information

See salary details

$46K

$165K

$243.5K

How much do first data jobs pay per year?

As of Jul 27, 2026, the average yearly pay for first data 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 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 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.

How to get the first data entry job?

To get a first data entry job, focus on developing basic computer skills, proficiency in spreadsheet software like Excel, and attention to detail. Entry-level positions often require minimal experience, so creating a strong resume highlighting relevant skills and applying through job boards or company websites can improve your chances.

What jobs make $1,000,000 a year?

High-level executive roles such as Chief Executive Officers (CEOs), Chief Financial Officers (CFOs), and other C-suite positions in large corporations often earn $1,000,000 or more annually, typically through a combination of salary, bonuses, and stock options. Additionally, successful entrepreneurs, top investment bankers, and certain hedge fund managers can reach or exceed this income level, often requiring extensive experience, specialized skills, and significant responsibility.

What is a First Data job?

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 is the highest paying data job?

In data-related roles, senior positions such as Data Science Director, Chief Data Officer, or Data Engineering Manager tend to have the highest salaries, often exceeding six figures depending on experience and location. These roles typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or advanced degrees.

What are the key skills and qualifications needed to thrive as a Payments Processing Specialist at First Data, and why are they important?

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.

Does first data still exist?

First Data was a major payment processing company that was acquired by Fiserv in 2019. As a result, the First Data brand no longer exists independently, but its services and operations continue under Fiserv. Employees working in payment processing roles may now be part of Fiserv's organization.
More about First Data jobs
What cities are hiring for First Data jobs? Cities with the most First Data job openings:
What states have the most First Data jobs? States with the most job openings for First Data jobs include:
Infographic showing various First Data job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior AI-First Data Engineer

Jobgether

On-site, Remote

$81K - $111K/yr

Full-time

Posted 11 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI-First Data Engineer based in Netherlands.

This role offers the opportunity to shape the future of data engineering within an AI-driven environment.
You will help build a next-generation cloud data platform designed to make business data accessible, intelligent, and actionable for both people and AI systems.
Working at the intersection of data engineering, automation, and artificial intelligence, you will create the foundations that power smarter decision-making and agent-driven workflows.
You will contribute to modernizing data architecture, moving from legacy systems toward scalable, streaming-first solutions.
The position combines hands-on technical leadership, innovation, and collaboration across engineering, product, analytics, and business teams.
You will play a key role in creating an AI-native data ecosystem within a fast-growing global technology environment.

Accountabilities:

As a Senior AI-First Data Engineer, you will be responsible for designing, evolving, and scaling modern data infrastructure while enabling AI-powered business capabilities.

  • Build and evolve a scalable, cloud-native data platform that supports AI applications, analytics, automation, and business operations.
  • Lead the transition from traditional batch processing architectures toward near real-time and streaming data systems.
  • Improve data platform reliability, observability, governance, security, and performance through engineering best practices.
  • Develop data products and foundations that allow AI agents, analytics systems, and business users to access and leverage trusted information.
  • Create semantic layers, metadata structures, and knowledge frameworks that make data more discoverable and actionable.
  • Enable AI-driven reporting, forecasting, and business intelligence capabilities by transforming static analytics into dynamic operational systems.
  • Use AI tools to accelerate engineering workflows, including development, testing, documentation, debugging, and monitoring.
  • Design systems that allow AI agents to safely query, understand, and interact with business data.
  • Evaluate emerging AI technologies and identify opportunities to improve productivity across data teams.
  • Improve accessibility and adoption of BI solutions while maintaining strong governance and data quality standards.
  • Provide technical leadership through architecture guidance, code reviews, mentorship, and knowledge sharing.
  • Partner with engineering, product, analytics, and business stakeholders to align technical investments with strategic goals.
Requirements:

The ideal candidate is an experienced data engineering professional with a strong background in building scalable platforms and applying AI-driven approaches to modern data workflows.

  • 6+ years of experience in data engineering, analytics engineering, or a related technical field.
  • Proven experience designing, implementing, and operating modern cloud-based data platforms.
  • Experience working in high-growth SaaS or technology environments.
  • Strong ability to manage complex projects from technical design through successful delivery.
  • Experience collaborating with both technical teams and business stakeholders.
  • Hands-on expertise with Databricks, dbt, Airflow, Python for data engineering, SQL, and data modeling.
  • Strong understanding of data warehousing architectures, orchestration, integration, quality frameworks, and governance practices.
  • Experience with streaming architectures, event-driven systems, BI platforms, product analytics tools, CRM data platforms, or customer data platforms.
  • Demonstrated AI-first mindset, including experience using AI-powered development workflows and automation tools.
  • Ability to leverage AI for debugging, testing, documentation, architecture exploration, and productivity improvements.
  • Curiosity about agentic systems and experience integrating AI into data or analytics workflows.
  • Nice-to-have experience with AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational data.
Benefits:
  • Remote-friendly working environment with flexibility to work from locations where you perform best.
  • Opportunity to join a globally distributed team across multiple countries and cultures.
  • Chance to contribute to the development of an AI-native organization and shape the future of workplace technology.
  • Exposure to cutting-edge AI, automation, and data engineering initiatives.
  • High-impact role within a fast-growing technology company scaling globally.
  • Collaborative culture focused on ownership, innovation, transparency, and continuous learning.
  • Opportunities for professional growth while working on complex technical challenges.
  • Ability to influence technical strategy and build foundational systems with long-term impact.
  • Inclusive workplace that values diverse perspectives and encourages everyone to contribute.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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