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Variable Data Jobs in Dallas, TX (NOW HIRING)

Lead Data Governance Technical Analyst Company: The Boeing Company The Boeing Company is currently ... Elements of the Total Rewards package include competitive base pay and variable compensation ...

Data Engineer

Irving, TX ยท On-site

$80K - $106K/yr

This role may be eligible for other compensation including variable compensation, bonus, or ... data, combined with its deep industry expertise and partner ecosystem.

We are seeking a highly motivated and skilled Data Center Optical Engineer to lead work in customer ... Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus.

We are seeking a highly motivated and skilled Data Center Optical Engineer to lead work in customer ... Short-Term Variable Compensation Plan: Your pay also includes the opportunity for an annual bonus.

DATA Architect Work Location : Tampa FL/ Irving, TX Duration: Full time Key Responsibilities ... or variable compensation. LTIMindtree is an equal opportunity employer that is committed to ...

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Variable Data information

See Dallas, TX salary details

$15.3K

$55.7K

$113K

How much do variable data jobs pay per year?

As of Sep 7, 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 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 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 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 are popular job titles related to Variable Data jobs in Dallas, TX?

For Variable Data jobs in Dallas, TX, the most frequently searched job titles are:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $55,688 per year, or $26.8 per hour.

Data Scientist - Gen AI ML - Tampa/Irving/ Mississauga

Photon

Irving, TX โ€ข On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Job description

Role Summary:
We are seeking a Generative AI Engineer to build, optimize, and scale production-ready AI applications. You will design complex multi-agent systems, implement advanced RAG pipelines, and manage the deployment of both frontier and local LLMs. The ideal candidate blends deep machine learning expertise with modern software engineering practices.

Technical Stack:

LLMs: Gemini, OpenAI, Claude, Llama, and Local Model deployment.

Frameworks: LangChain, LlamaIndex, and Hugging Face.

Orchestration: LangGraph and Multi-Agent Systems (MAS).

Development: Python, FastAPI, and Asynchronous Programming.

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies.

ML/DL: PyTorch, TensorFlow, and Model Fine-tuning.

Deployment: Docker, Production API management, and LLM monitoring.

Tools: Prompt Engineering, Workflow Design, and GenAI Optimization.

Key Responsibilities:

Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures.

Build and maintain Advanced RAG systems utilizing LlamaIndex and vector databases for high-accuracy retrieval.

Integrate and swap diverse LLMs (commercial and open-source) based on performance and cost requirements.

Design and deploy high-performance, scalable backend services using FastAPI and Async Python.

Fine-tune large language models (LLMs) using PyTorch/TensorFlow to improve domain-specific performance.

Optimize GenAI workflows for latency, cost, and reliability using advanced prompt engineering and monitoring tools.

Containerize and deploy AI services via Docker to production environments.

Required Qualifications:

5 years of hands-on experience building and deploying GenAI applications in a production setting.

Strong proficiency in Python and the modern AI library ecosystem (LangChain, LlamaIndex, etc.).

Experience with vector search, embedding models, and advanced data retrieval patterns.

Knowledge of model fine-tuning techniques and local LLM quantization/hosting.

Familiarity with production-grade monitoring, API security, and CI/CD for ML.

Compensation, Benefits and Duration

Minimum Compensation: USDย 56,000
Maximum Compensation: USDย 196,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post