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Company First Data Jobs (NOW HIRING)

Junction

Data Scientist

New York, NY · On-site +1

$180K - $220K/yr

As the company grows, our advantage moves beyond just having data to having the ability to turn it ... We're hiring our first Data Scientist to take ownership of, and establish that standard. This role ...

Sand Tech Holdings Limited

Data Engineer

Baltimore, MD

$113K - $136K/yr

About Sand Sand Technologies is a global Physical AI company using data and AI to make critical ... We operate with a strong code-first, "data as a product" mindset, where testing, reliability ...

SafeLease Insurance Services LLC

Data Engineer

New York, NY · On-site

$130K - $225K/yr

... first data engineers at a company Compensation: $130,000 to $225,000 base, depending on experience and qualifications. Why SafeLease? The tech: Our prospects convert fast because we're solving real ...

Sand Tech Holdings Limited

Data Engineer

Baltimore, MD

$113K - $136K/yr

About Sand Sand Technologies is a global Physical AI company using data and AI to make critical ... We operate with a strong code-first, "data as a product" mindset, where testing, reliability ...

Askari Defense

Robotics Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Askari Defense is a company focused on developing high-performance, fully-autonomous kinetic ... Develop and maintain core libraries for programmatic, offline-first data analysis: the primary way ...

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

We are the first and only company to think about both the business owner and their customers when ... As our first data scientist, you will help shape this function from the ground up. We are looking ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Atmosphere TV

Senior Data Scientist

Austin, TX

As our first data scientist, you will help shape this function from the ground up. We are looking ... Company Equity * Company 401(k) with employer matching * Competitive insurance plans * Flexible ...

Worth AI

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

... the company * Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling * Own the reliability, performance, and API first data ...

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Showing results 1-20

All JobsCompany First Data Jobs

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:
What job categories do people searching Company First Data jobs look for? The top searched job categories for Company First Data jobs are:
Company First Data jobs near you
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.
Data Scientist

Data Scientist

Junction

New York, NY • On-site, Remote

$180K - $220K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago

Job description

Healthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient-doctor interactions, we're entering an era where data is abundant.
Junction is building the infrastructure layer for diagnostic healthcare, making patient data accessible, actionable, and automated across labs and devices. Our mission is simple but ambitious: use health data to unlock unprecedented insight into human health and disease.
If you're passionate about how technology can supercharge healthcare, you'll fit right in.
Backed by Creandum, Point Nine, 20VC, YC, and leading angels, we're working to solve one of the biggest challenges of our time: making healthcare personalized, proactive, and affordable. We're already connecting millions and scaling fast.
Short on time? TL;DR
  • You: Can define what should be measured, how it should be modeled, and how those insights should shape product and company decisions.
  • Ownership: You'll own Junction's highest-leverage statistical, modeling, and evaluation work across diagnostics, clinical workflows, and AI-enabled product development.
  • Scope: This is not a pure IC modeling role and not a reporting role. You'll set the methodology, research roadmap, and decision framework for how Junction uses data to drive product, clinical, and business outcomes.
  • Salary: $180,000 - $220,000 + equity
  • Location: Fully remote (EST timezone only)

Why we need you
Junction sits in the flow of high-value diagnostics and clinical data. As the company grows, our advantage moves beyond just having data to having the ability to turn it into reliable intelligence improving product decisions, customer outcomes, and the performance of the business.
Some of that work exists today, but it is not yet owned as a coherent function. Models get built. Analyses get done. Experiments answer local questions. But we need someone who can define the broader scientific and analytical system: what we should measure, what methods we trust, where modeling creates real leverage, and how that work translates into products and decisions that hold up outside a demo.
We're hiring our first Data Scientist to take ownership of, and establish that standard.
This role will lead Junction's most important modeling, experimentation, and evaluation work. You'll partner closely with data, product engineering and leadership teams to drive the analytical roadmap by which Junction can leverage differentiated value from data.
What you'll be doing day to day
  • Own the research and modeling work underlying Junction's highest-priority data science opportunities across diagnostics, clinical workflows, and AI-enabled product features
  • Define rigorous frameworks for measurement, experimentation, and causal evaluation so we can distinguish signal from noise and make decisions we can defend
  • Lead development of predictive models, segmentation approaches, risk or routing logic, and other statistical systems that directly inform product and business strategy
  • Build the analytical foundation behind customer-facing features - from model development through to validation and performance tracking
  • Partner with engineering and data engineering to ensure models and analytical systems can be put in production, are reliable, and useful in real workflows
  • Establish how Junction evaluates data-driven and AI-enabled features, including methodology, quality thresholds, monitoring, and performance review
  • Communicate complex technical findings clearly to technical and non-technical stakeholders, including tradeoffs, limitations, and implications for action

Requirements
  • Strong track record of leading high-stakes analytical work that influenced product, operational, or business decisions
  • Deep foundation in statistical inference, experimental design, observational analysis, and model evaluation
  • Strong Python and/or R skills, with experience working on large, messy real-world datasets
  • Experience building predictive or decision-support models in production or near-production environments
  • Experience partnering closely with engineering to move work from analysis or prototype into deployed systems
  • Ability to operate at both strategic and hands-on levels: defining the roadmap while also getting into the details when needed
  • Strong communication and stakeholder management skills; able to explain methods, findings, and tradeoffs to executives as well as technical peers
  • Comfort operating in a startup environment with ambiguity, limited structure, and high ownership

Nice to have
  • Experience designing, executing, and publishing research studies
  • Experience with HIPAA, PHI, or other regulatory clinical frameworks
  • Deep familiarity with modern data tooling and production workflows across warehouses, orchestration, and transformation layers
  • Experience developing, deploying, and designing evaluation frameworks for LLM or AI-powered features in customer-facing products
  • Expertise directly working with healthcare, diagnostics, lab data, wearable data, and other clinical data
  • Experience applying causal inference methods, such as diff-in-diff, propensity scoring, or instrumental variables in practice

What this role isn't
  • Not an analytics role focused on dashboards, reporting, or one-off analysis
  • Not an ML platform role - you won't own infrastructure or tooling
  • Not a good fit if you mainly want to experiment with models or AI ideas without being accountable for how they perform in production
  • Not a good fit if you struggle with ambiguity. Knowing what to work on is part of the job

How you'll be compensated
  • Salary: $180,000 - $220,000 + equity
  • Your salary is dependent on your location and experience level
  • Equity (extended exercise post 2 years of employment)
  • Company and team offsites
  • Monthly learning budget of $150 for personal development and productivity
  • $100 monthly wellness budget
  • Flexible, remote-first working - including $1K for home office equipment
  • Coworking budget
  • 36 days paid time off (including bank holidays)
  • Premium healthcare coverage
  • 4% monthly contribution to pension/401k
  • Yearly blood test on us
  • Enhanced parental, foster, and adoption leave

Important details before applying:
  • We only hire folks physically based in GMT and EST timezones - more information here
  • We do not sponsor visas right now given our stage

Apply