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Remote Variable Data Programmer Jobs in Columbus, OH

ComResource

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows. * Ingest structured, semi ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/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 ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/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 ...

AssetWatch, Inc.

Backend Engineer

Dublin, OH · Remote

$120K - $155K/yr

The Data Services team designs, manages, and optimizes critical backend data infrastructure and ... Variable pay, bonuses, and other cash compensation will be discussed throughout the interview ...

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Remote Variable Data Programmer information

See Columbus, OH salary details

$15

$27

$45

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

As of Jul 14, 2026, the average hourly pay for remote variable data programmer in Columbus, OH is $27.18, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $28.80 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Variable Data Programmer, and why are they important?

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 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 popular job titles related to Remote Variable Data Programmer jobs in Columbus, OH? For Remote Variable Data Programmer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Variable Data Programmer jobs in Columbus, OH look for? The top searched job categories for Remote Variable Data Programmer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Variable Data Programmer jobs? Cities near Columbus, OH with the most Remote Variable Data Programmer job openings:
Remote Variable Data Programmer jobs near you
Data Engineer Databricks (Remote)

Data Engineer Databricks (Remote)

ComResource

Columbus, OH • Remote

$110K - $132K/yr

Full-time

Posted 11 days ago

Job description

ComResource is looking for a Data Engineer – Databricks.

Responsibilities:

Data Engineering & Pipelines

  • Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows.
  • Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
  • Develop optimized transformations, data quality rules, and reusable framework components.
  • Leverage built-in AI tooling for faster delivery where applicable.
  • Implement best practices for job orchestration, monitoring, alerting, and automation.

Data Modeling

  • Design and implement dimensional models including star and snowflake schemas for analytical workloads.
  • Apply normalization and denormalization strategies for performance and usability.
  • Create physical data models aligned to Delta Lake and Medallion architecture.
  • Ensure data quality, integrity, and alignment with enterprise governance policies.

Essentials:

  • 7–10+ years of experience in data engineering.
  • Proven experience building and deploying large-scale Databricks pipelines.
  • Advanced hands-on Databricks experience, including Spark, Delta Lake, Workflows, and Unity Catalog.
  • Strong understanding of Medallion architecture (Bronze/Silver/Gold).
  • Proficiency with PySpark, SQL, ETL/ELT frameworks, and Delta Lake optimizations.
  • Strong SQL programming and performance tuning skills.
  • Strong experience working with CI/CD, Git, and job orchestration tools.
  • Deep understanding of data modeling principles for warehousing and analytics.
  • Experience with cloud environments including AWS, Azure, or GCP.
  • Experience with modern data lakehouse concepts and distributed systems.

Req ID: AM71721771