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Remote Variable Data Programmer Jobs in Hampshire, IL

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

... fully remote arrangements for the ideal candidate. Responsibilities: * Elicit, analyze, and ... Partner with developers and data engineers to ensure delivered solutions meet documented ...

System One

Sr Infrastructure Engineer

Itasca, IL · Remote

$111K - $151K/yr

As part of the Data Center Strategy, this person will allow us to develop a 24x7 remote hands staff ... closely with engineering teams, vendors, and remote hands, and use standard tooling such as ...

System One

Sr Infrastructure Engineer

Itasca, IL · Remote

$111K - $151K/yr

As part of the Data Center Strategy, this person will allow us to develop a 24x7 remote hands staff ... closely with engineering teams, vendors, and remote hands, and use standard tooling such as ...

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All JobsVariable Data Programmer JobsRemote Variable Data Programmer JobsRemote Variable Data Programmer Jobs in Hampshire, IL

Remote Variable Data Programmer information

See Hampshire, IL salary details

$14

$26

$44

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

As of Jul 26, 2026, the average hourly pay for remote variable data programmer in Hampshire, IL is $26.89, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.46 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 cities near Hampshire, IL are hiring for Remote Variable Data Programmer jobs? Cities near Hampshire, IL with the most Remote Variable Data Programmer job openings:
Remote Variable Data Programmer jobs near you
Remote Data / Persistence Modernization Engineer

Remote Data / Persistence Modernization Engineer

3B Staffing LLC

West Chicago, IL • Remote

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data / Persistence Modernization Engineer Primary Location: Primarily Remote, Candidates Ideally Reside in Chicagoland Area Position Type: Contract, 6 months with possible extension Overview Looking for a Data / Persistence Modernization Engineer to join our client's cloud modernization initiative. This senior-level consultant will assess stateful application services, data platforms, caching technologies, search solutions, analytics stores, and data-migration patterns associated with both recurring modernization efforts and newly acquired environments. The engineer will determine whether material data dependencies can be migrated directly, bridged temporarily, retained through a controlled exception, replaced with a target-platform service, or require application data-layer refactoring. This role combines architecture assessment, hands-on technical validation, migration planning, risk analysis, and engineering-effort estimation. What You Bring to the Role. (Ideal Experience)
  • Senior-level experience modernizing application data layers and distributed persistence architectures.
  • Deep experience with NoSQL and document-oriented platforms, including:
    • Amazon DynamoDB
    • Amazon DocumentDB
    • MongoDB and MongoDB Atlas
  • Working knowledge of:
    • PostgreSQL and PostgreSQL-based managed services
    • Amazon RDS
    • Google AlloyDB
    • Redis and Amazon ElastiCache
    • OpenSearch
    • Snowflake
    • Amazon Redshift
  • Strong understanding of data-access patterns, schema design, indexing, and partitioning strategies.
  • Experience evaluating consistency models, transaction semantics, and data-model coupling.
  • Knowledge of cache-versus-state classification and the operational implications of each.
  • Hands-on experience with:
    • Change Data Capture
    • Data backfills
    • Dual-write patterns
    • Shadow reads
    • Data reconciliation
    • Tenant isolation
    • Data cutover and rollback strategies
  • Ability to assess application changes required when a managed cloud service cannot be directly reproduced on the target platform.
  • Strong written communication skills with the ability to produce concise, actionable engineering assessments.
  • Experience estimating technical complexity, platform dependencies, migration risks, and future engineering effort.
What You'll Do. (Skills Used in this Position)
  • Assess recurring and acquisition-specific risks related to stateful application services and data platforms.
  • Analyze data models, schemas, indexes, partitions, access patterns, consistency requirements, and transaction behavior.
  • Evaluate dependencies involving databases, caches, search platforms, analytics stores, and managed cloud data services.
  • Determine whether each dependency is:
    • Portable to the target environment
    • Suitable for temporary bridging
    • Eligible for a controlled exception
    • A candidate for replacement
    • Likely to require application refactoring
  • Evaluate dual-running, reconciliation, backfill, and rollback options.
  • Identify required target-platform services, configurations, and technical prerequisites.
  • Perform bounded, non-production technical validation when additional evidence is needed.
  • Assess tenant isolation, data security, migration sequencing, and service availability risks.
  • Estimate the application, platform, data, testing, and operational effort associated with each migration path.
  • Produce concise Engineering Assessment Inputs documenting:
    • Data-model coupling
    • Access-pattern findings
    • Migration options
    • Platform dependencies
    • Cutover and rollback feasibility
    • Key risks and constraints
    • Likely future engineering effort
  • Partner with application teams, cloud platform teams, architects, security stakeholders, and data owners throughout the assessment process.

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