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Variable Data Jobs in Dallas, TX (NOW HIRING)

Ericsson Inc.

Data Center Technician

Dallas, TX · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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.

Ericsson

Data Center Technician

Dallas, TX · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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.

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Irving

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

Photon

Sr Data Scientist - Gen AI ML - Tampa/Irving

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch ... Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off ...

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Showing results 41-60

All JobsVariable Data JobsVariable Data Jobs in Dallas, TX

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 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:

Variable Data jobs near you
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.

SPARK Data Reconciliation Engineer- Jersey City

Photon

Addison, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description


Job Title: PySpark Data Reconciliation Engineer
Summary:
We're seeking a skilled PySpark Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our financial systems. You will be responsible for designing, implementing, and maintaining PySpark-based applications to perform complex data reconciliations, identify and resolve discrepancies, and automate data matching processes. The ideal candidate possesses strong PySpark development skills, experience with data reconciliation techniques, and the ability to integrate with diverse data sources and rules engines.
Key Responsibilities:
Data Reconciliation Development:
  • Design, develop, and test PySpark-based applications to automate data reconciliation processes across various financial data sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation, matching algorithms (deterministic and heuristic) using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.

Data Analysis and Matching:
  • Collaborate with business analysts and data architects to understand data requirements and matching criteria.
  • Analyze and interpret data structures, formats, and relationships to implement effective data matching algorithms using PySpark.
  • Work with distributed datasets in Spark, ensuring optimal performance for large-scale data reconciliation.

Rules Engine Integration:
  • Integrate PySpark applications with rules engines (e.g., Drools) or equivalent to implement and execute complex data matching rules.
  • Develop PySpark code to interact with the rules engine, manage rule execution, and handle rule-based decision-making.

Problem Solving and Gap Analysis:
  • Collaborate with cross-functional teams to identify and analyze data gaps and inconsistencies between systems.
  • Design and develop PySpark-based solutions to address data integration challenges and ensure data quality.
  • Contribute to the development of data governance and quality frameworks within the organization.

Qualifications and Skills:
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data reconciliation principles, techniques, and best practices.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing and integration.
  • Experience with rules engine integration and development
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with business analysts, data architects, and other team members.
  • Familiarity with data streaming platforms (e.g., Kafka, Kinesis) and big data technologies (e.g., Hadoop, Hive, HBase) is a plus.

Compensation, Benefits and Duration
Minimum Compensation: USD 43,000
Maximum Compensation: USD 151,000
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

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