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Remote Variable Data Programmer Jobs in McKinney, TX

Production Manager

Dallas, TX · On-site +1

$55K - $70K/yr

... variable data printing (VDP), finishing, and prepress workflows. * Understanding of USPS ... Work-life balance + 100% remote workforce * Excellent benefits including Health, Dental, and Vision ...

... data scientists, and AI engineers to translate knowledge into formal models. - Govern ontology ... The starting pay range for this remote role is $105,840.00-$147,000.00. This range reflects the ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Analyst

Dallas, TX · Remote

$23.50 - $30.50/hr

This is a remote role strictly for candidates within the United States. Position Overview: As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data into ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Showing results 41-60

Remote Variable Data Programmer information

See McKinney, TX salary details

$14

$26

$43

How much do remote variable data programmer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote variable data programmer in McKinney, TX is $26.12, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $27.64 per hour, depending on experience, location, and employer.

What is a remote variable data programmer?

A Remote Variable Data Programmer is a professional who specializes in creating and managing variable data printing (VDP) projects while working from a remote location. Their main responsibility is to program and automate the dynamic insertion of personalized information—such as names, addresses, or custom messages—into print or digital communications. They use specialized software and scripting languages to manipulate data and templates, ensuring that each output is tailored to the recipient. This role is common in industries like marketing, direct mail, and print services, where personalized communication is essential.

What are the key skills and qualifications needed to thrive as a remote variable data programmer?

To thrive as a Remote Variable Data Programmer, you need strong programming skills in languages such as SQL, JavaScript, or Python, and experience with data management and personalization logic. Familiarity with variable data printing (VDP) software like XMPie, EFI Fiery, or Quadient Inspire, as well as knowledge of workflow automation tools, is typically required. Attention to detail, problem-solving ability, and effective remote communication are crucial soft skills for success in this position. These skills ensure the accurate and efficient creation of personalized communications, which are vital for meeting client specifications and maintaining project quality.

What are some common challenges faced by remote variable data programmers, and how can they be addressed?

Remote Variable Data Programmers often encounter challenges such as managing complex data integration from multiple sources, ensuring data accuracy in personalized print or digital projects, and collaborating effectively with distributed teams. To address these issues, it's helpful to maintain clear documentation, use version control systems, and leverage regular check-ins with team members. Familiarity with variable data printing software and strong communication skills are also key to overcoming these challenges and ensuring successful project delivery.

What is the difference between Remote Variable Data Programmer vs Data Analyst?

AspectRemote Variable Data ProgrammerData Analyst
Required CredentialsProgramming skills, data management certificationsStatistics, data analysis certifications
Work EnvironmentRemote, technical environment, coding tasksRemote or on-site, data interpretation and reporting
Employer & Industry UsageTech, finance, healthcare, roles involving data processingBusiness, marketing, finance, roles involving data insights

The Remote Variable Data Programmer primarily focuses on coding and managing variable data sets remotely, often requiring programming skills. In contrast, Data Analysts interpret data to generate insights, which may involve some coding but emphasizes analysis and reporting. Both roles are in high demand across various industries and often share remote work options, but their core responsibilities differ significantly.

What are popular job titles related to Remote Variable Data Programmer jobs in McKinney, TX?

For Remote Variable Data Programmer jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Remote Variable Data Programmer jobs in McKinney, TX look for?

The top searched job categories for Remote Variable Data Programmer jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Remote Variable Data Programmer jobs?

Cities near McKinney, TX with the most Remote Variable Data Programmer job openings:

Infographic showing various Remote Variable Data Programmer job openings in McKinney, TX as of August 2026, with employment types broken down into 10% Internship, 79% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,324 per year, or $26.1 per hour.

Google Cloud Data Migration Lead

IT America Inc

Dallas, TX • Remote

Contractor

Re-posted 2 days ago


Job description

Position: Google Cloud Data Migration – Data Migration Team Lead

Location: Remote

Duration: Long term contract

Job Summary:

Seeking a Google Cloud data engineer to design, build, and maintain scalable and efficient data processing systems on the Google Cloud platform. This engineer will be responsible for the entire data lifecycle, from ingestion and storage to processing, transformation, and analysis. Their work will enable client organizations to make data-driven decisions by providing clean, high-quality data to business intelligence tools, AI systems, analysts and data scientists.

Key Responsibilities:

  • Serve as Data Migration team leader for a large data and application migration to the Google Cloud platform.
  • As Data Migration team leader, this individual will be responsible for our team’s endto-end data architecture and migration planning to support the migration effort as well as future-state client efforts on the Google Cloud platform.
  • As Data Migration team leader, this individual will collaborate closely with the overall Google Cloud migration team leadership, working to deliver a successful application and data migration.
  • Design and build data pipelines: Develop and maintain reliable and scalable batch and real-time data pipelines using GCP tools such as Cloud Dataflow (based on Apache Beam), Cloud Pub/Sub, and Cloud Composer (for Apache Airflow).
  • Create and manage data storage solutions: Implement data warehousing and data lake solutions using GCP products like BigQuery, Cloud Storage, and other transactional or NoSQL databases such as CloudSQL or Bigtable.
  • Ensure data quality and integrity: Develop and enforce procedures for data governance, quality control, and validation throughout the data pipeline to ensure data is accurate and reliable.
  • Optimize performance and cost: Monitor data infrastructure and pipelines to identify and resolve performance bottlenecks, ensuring that all data solutions are cost-effective and scalable.
  • Collaborate with other teams: Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand data needs, translating them into technical specifications.
  • Automate and orchestrate workflows: Automate data processes and manage complex workflows using tools like Cloud Composer.
  • Implement security: Design and enforce data security and access controls using GCP Identity and Access Management (IAM) and other best practices.
  • Maintain documentation: Create and maintain clear documentation for data pipelines, architecture, and operational procedures.

Required Skills & Qualifications:

  • GCP Certified professional
  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Very strong understanding of data migration methods and tooling, with hands-on experience in at least three (3) data migrations to Google Cloud

Google Cloud Platform: Hands-on experience with key GCP data services is essential, including:

  1. BigQuery: For data warehousing and analytics.
  2. Cloud Dataflow: For building and managing data pipelines.
  3. Cloud Storage: For storing large volumes of data.
  4. Cloud Composer: For orchestrating workflows.
  5. Cloud Pub/Sub: For real-time messaging and event ingestion.
  6. DataProc: For running Apache Spark and other open-source frameworks.
  • Programming languages: Strong proficiency in programming languages, most commonly Python, is mandatory. Experience with Java or Scala is also preferred.
  • SQL expertise: Advanced SQL skills for data analysis, transformation, and optimization within BigQuery and other databases.
  • ETL/ELT: Deep knowledge of Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
  • Infrastructure as Code (IaC): Experience with tools like Terraform for deploying and managing cloud infrastructure.
  • CI/CD: Familiarity with continuous integration and continuous deployment (CI/CD) pipelines using tools such as GitHub Actions or Jenkins.
  • Data modeling: Understanding of data modeling, data warehousing, and data lake concepts