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Company First Data Jobs (NOW HIRING)

$81K - $111K/yr

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 ...

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Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

Company Description Federato Technologies is a Series A startup based in San Fransisco, CA looking ... The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ...

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

Company Description Federato Technologies is a Series A startup based in San Fransisco, CA looking ... The role will report directly to the CTO. Next to the CTO, you will be first Data Scientist on the ...

Data Scientist

New York, NY · On-site

$140K - $180K/yr

... AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data ...

Data Engineer

Port Angeles, WA · On-site

$117K - $141K/yr

The Data Engineer role will support the BI and Reporting Manager, focusing on enhancing the data ... Company : First Fed is a local community bank on an exciting growth trajectory with 16 locations in ...

They are seeking a Data Analyst I to analyze data, develop reports and dashboards, and ensure data ... Company : First Financial Bankshares, Inc. is recognized as one of the nation's most financially ...

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ... Quarterly company offsites

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... first data platform. The role involves designing and optimizing data pipelines while collaborating ... The company is currently Growth Stage.

About the role As one of our first Data Scientists dedicated to policy work, you will play a key ... Partner with product and business teams across the company to produce supporting analyses and data ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role reporting to our VP of Product. You'll own data reliability across the company: clean tables, documented ...

Company Shared Services Argo and Farm Family are specialty property and casualty insurance brands ... Senior Data Engineer AI-First Data Strategy for P&C Insurance Carrier Lead Innovation in Property ...

Data Engineer

New York, NY · On-site

$135K - $190K/yr

This is a foundational role, you'll be our first data hire, which means you'll shape everything ... If you've ever wanted to own the entire data stack at a fast-growing company, this is it. What You ...

Staff Data Engineer

New York, NY · On-site

$200K - $300K/yr

Our first, Ava, is an AI BDR used by hundreds of companies. She researches leads, writes and sends ... We're a YC W24 company, have raised $35M+ from investors including Y Combinator, and are at $8M ...

... a shift toward more modern, code-first data engineering practices including Python-based ... in which the company has facilities. Reasonable accommodation is available for qualified ...

They are seeking a Director, Data Enablement to lead the operational backbone of their data ... silos Company : First Stop Health provides care that people love with 24/7 access to licensed ...

... a shift toward more modern, code-first data engineering practices including Python-based ... in which the company has facilities. Reasonable accommodation is available for qualified ...

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Company First Data information

See salary details

$46K

$165K

$243.5K

How much do company first data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for company 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 Company First Data vs Payment Processor?

AspectCompany First DataPayment Processor
CredentialsTypically requires banking, finance, or IT certificationsOften requires PCI compliance, security certifications
Work EnvironmentCorporate offices, data centers, client sitesData centers, client locations, remote support
Employer & IndustryFinancial services, technology companiesFinancial institutions, e-commerce, retail
Search & Comparison IntentUnderstanding company services vs industry roleComparing service providers or job roles

Company First Data is a major provider of payment processing solutions, focusing on merchant services and financial technology. Payment processors are companies or roles that handle transaction authorization and settlement. While First Data is a specific company, payment processors can include various firms or roles involved in processing payments. The key difference lies in First Data being a specific employer, whereas payment processor refers to the broader industry or job function.

What are the typical challenges faced by employees working at First Data, and how can they proactively address them?

Employees at First Data, a global leader in payment technology and services, often encounter challenges such as adapting to rapidly evolving financial technologies and maintaining compliance with strict industry regulations. Team members may also need to navigate working within large, cross-functional teams and manage high volumes of transactions securely. To succeed, it's helpful to stay updated on fintech trends, participate in ongoing training, and leverage collaboration tools to communicate effectively across departments. Seeking mentorship and actively engaging in knowledge-sharing sessions can also help employees overcome common hurdles and advance in their careers.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical abilities, statistical knowledge, and proficiency with data visualization, typically supported by a degree in mathematics, statistics, or a related field. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are commonly required. Attention to detail, critical thinking, and effective communication are standout soft skills in this position. These skills are vital for extracting actionable insights from data and effectively communicating findings to support business decision-making.

What is Company First Data and what does it do?

First Data, now part of Fiserv, is a global leader in payment technology and services. The company provides secure payment processing solutions for merchants, financial institutions, and businesses of all sizes. Their services include credit and debit card processing, point-of-sale solutions, e-commerce payments, gift card programs, and fraud protection. First Data enables businesses to accept payments in-store, online, and on mobile devices, making transactions faster and more secure.
What states have the most Company First Data jobs? States with the most job openings for Company First Data jobs include:
Infographic showing various Company 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 yesterday


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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