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Variable Data Jobs in Dallas, TX (NOW HIRING)

Data Scientist

Dallas, TX · On-site

$90 - $125/hr

In addition to base salary, this role may be eligible for additional compensation such as variable ... data, combined with its deep industry expertise and partner ecosystem. #J-18808-Ljbffr

In addition to base salary, this role may be eligible for additional compensation such as variable ... data, combined with its deep industry expertise and partner ecosystem.

Data Architect | Onsite | Dallas/Charlotte

Dallas, TX · On-site

$63 - $81/hr

Data Architect Role Overview: We are seeking an experienced Data Architect to design and implement ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Principal Data Engineer- Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Our Data Solutions team is looking for a highly motivated Data Engineer responsible for designing ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Principal Data Engineer- Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Our Data Solutions team is looking for a highly motivated Data Engineer responsible for designing ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Define data mappings transformation logic and validation rules * Lead migration execution and ... This role may be eligible for other compensation including variable compensation, bonus, or ...

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Showing results 21-40

Variable Data information

See Dallas, TX salary details

$15.3K

$55.7K

$113K

How much do variable data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for variable data in Dallas, TX is $55,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,484.00 and $64,634.00 per year, depending on experience, location, and employer.

What are the common challenges faced by professionals working with variable data in print production, and how can they be overcome?

Professionals handling variable data in print production often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining print quality consistency across personalized materials. To overcome these issues, it is crucial to use robust data management tools, establish quality control checks, and collaborate closely with both IT and design teams. Regular communication and thorough pre-press testing help prevent errors and ensure that personalized content is delivered as intended, making teamwork and attention to detail vital in this role.

What is the difference between Variable Data vs Data Analyst?

AspectVariable DataData Analyst
Required CredentialsTypically a background in graphic design, printing, or digital media; certifications like Adobe Certified Expert may helpDegree in statistics, mathematics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentPrinting companies, digital media firms, marketing agenciesCorporate offices, consulting firms, financial institutions
Employer & Industry UsageUsed in printing, marketing, and digital media for personalized contentUsed across industries for data interpretation, reporting, and decision-making

Variable Data specialists focus on creating personalized content through digital printing and media, requiring design skills and industry-specific tools. Data Analysts interpret complex data sets to inform business decisions, requiring analytical skills and statistical knowledge. While both roles involve data handling, their work environments, skills, and industry applications differ significantly.

What skills and qualifications are needed to thrive as a variable data specialist?

To thrive as a Variable Data Specialist, you need expertise in data management, database software, and a strong understanding of variable data printing processes, typically supported by experience in graphic design or IT. Familiarity with tools like Adobe Creative Suite, data processing programs, and variable data printing software such as XMPie or EFI Fiery is common. Attention to detail, problem-solving, and effective communication are vital soft skills for managing complex data-driven print projects and collaborating with clients. These skills ensure accurate, efficient, and customized outputs that meet client specifications and maintain high-quality standards.

What is variable data?

Variable data refers to the process of customizing printed materials with unique information for each recipient, such as names, addresses, or personalized messages. This technique is widely used in direct mail, marketing materials, and billing statements to increase engagement and relevance. Variable data printing leverages databases and digital printing technology to efficiently produce these personalized items. Professionals in this field need skills in data management, design software, and digital printing processes.

What job categories do people searching Variable Data jobs in Dallas, TX look for?

The top searched job categories for Variable Data jobs in Dallas, TX are:

Infographic showing various Variable Data job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $55,688 per year, or $26.8 per hour.

Data Scientist

Capgemini

Dallas, TX • On-site

$90 - $125/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

97th of 223 rated it services


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.LocationDenver COYour RoleThe GenAI Engineer / Data Scientist role focuses on developing, deploying, and scaling Generative AI and Predictive AI solutions that drive business value. The position combines expertise in AI/ML, APIs, cloud platforms, data engineering, MLOps, and agentic AI workflows to build production-ready AI applications and automation solutions.Key ResponsibilitiesAI & Machine Learning DevelopmentDevelop and deploy:Generative AI solutions (GPT, Claude, Stable Diffusion)Predictive AI models (regression, classification, clustering)NLP and Computer Vision applicationsBuild intelligent AI agents and agentic workflows to automate business processes.Implement Retrieval-Augmented Generation (RAG) and multimodal AI solutions.Application Architecture & API IntegrationDesign AI-enabled applications and integrations using:REST APIsJSON servicesAuthentication and TokensHTTP protocols and API endpointsHandle API security, rate limiting, debugging, error handling, and documentation.Model Deployment & MLOpsDeploy AI models into production environments.Monitor model performance, scalability, and reliability.Required Skills and ExperienceBachelor's degree or higher in AI, Machine Learning, Computer Science, or a related field.3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.Experience deploying and managing production AI solutions with MLOps practices.Ideal CandidateA hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building and operating enterprise-scale AI solutions from development through production deployment.The base compensation range for this role in the posted location is $90,000- $125,000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. #J-18808-Ljbffr

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