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Remote Variable Data Programmer Jobs in Chicago, IL

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

About the Role We're looking for an Associate Data Engineer to join our team and help make data ... Comfort working in a remote, collaborative environment * Based in the United States (preferred time ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

IT Labs

Lead Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

IT Labs

Lead Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company\'s data platform ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

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All JobsRemote Variable Data Programmer JobsRemote Variable Data Programmer Jobs in Chicago, IL

Remote Variable Data Programmer information

See Chicago, IL salary details

$16

$28

$48

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

As of Jun 25, 2026, the average hourly pay for remote variable data programmer in Chicago, IL is $28.99, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $30.72 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 the most commonly searched types of Variable Data Programmer jobs in Chicago, IL? The most popular types of Variable Data Programmer jobs in Chicago, IL are:
What are popular job titles related to Remote Variable Data Programmer jobs in Chicago, IL? For Remote Variable Data Programmer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Variable Data Programmer jobs in Chicago, IL look for? The top searched job categories for Remote Variable Data Programmer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Variable Data Programmer jobs? Cities near Chicago, IL with the most Remote Variable Data Programmer job openings:
Remote Variable Data Programmer jobs near you

Manager, Data Engineering- Data Visualization (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

Full-time

Posted 21 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The Data Engineering Manager - Enterprise Data Visualization will report to the Sr. Director, Data Engineering in the Technology Department. This role will engage with Business Leaders, Analysts, Data Stewards, Application Architects, and third-party providers. This role will lead an agile team of Data Engineers that work to enhance data delivery, quality, accessibility, and analysis. This role will improve functionality, streamline data processes, provide direct support to the business and operational teams, and strengthen targeted business strategies. The role works closely with the Business, Operations and Technology groups to help design and lead the development and maintenance of the Enterprise Reporting Platform.
If you are ready to advance your career and contribute to a rapidly growing company dedicated to delivering innovative products and ensuring an exceptional client experience, we eagerly await your application!
Duties & Responsibilities:
  • Lead an agile team of data engineers with varying levels of experience in the delivery of enterprise data initiatives.
  • Oversee the creation of data visualizations including enterprise dashboards, analytical, and operational reporting.
  • Partner with business leadership to implement 3-5-year plan for area of responsibility.
  • Manage multiple concurrent projects.
  • Define and establish benchmarks, metrics, and quality measures.
  • Support disaster recovery and contingency planning.
  • Ensure solutions meet non-functional requirements, including security, performance, maintainability, scalability, usability, and reliability.
  • Effectively manage relevant 3rd party vendor relationships.
  • Support the stability and resiliency of Data Visualization production processes, as well as instituting a robust support model addressing process and application failures.
  • Understand the business and technology.
  • Drive process alignment with business partners.
  • Identify project team requirements and capital requirements.
  • Evaluate and integrate productivity tools, development tools, testing tools, databases, and applications into this architecture.
  • Work with the leaders of Technology Infrastructure and Software Engineering to ensure effective operational tools and procedures are in place to support the application architecture.
  • Research and strategize emerging technologies relevant to business needs.
  • Develop and document an overall enterprise reporting delivery architecture which is fit for business purposes and cost effective.

Supervisory Responsibilities:
  • Recruits, interviews, hires, and trains new staff.
  • Oversees the daily workflow of the department.
  • Provides constructive and timely performance evaluations.
  • Participate in budget planning and monitoring.

Education & Experience:
  • 10+ years of experience in Data Engineering, Data Visualization, or Software Product Development
  • Bachelor's degree preferred in Computer Science, Computer Engineering, Software Engineering, Electrical/Electronic Engineering, Mathematics, Statistics, Data Science, or similar/related Engineering/Science based disciplines
  • 1-3 years of leadership experience managing direct reports
  • Tableau Certifications are preferred
  • Microsoft Certified Azure Data Fundamentals preferred
  • Snowflake SnowPro Certification preferred

Skills & Abilities:
  • Strong understanding of Programming Skills. While not expected to perform day-to-day code development, the Data Engineering Manager is expected to be knowledgeable and practiced in programming languages such as SQL/T-SQL, Python
  • Data / Database Skills: Competence with relational and NoSQL databases (e.g., SQL Server, MongoDB) including proficiency with Data Definition Languages, Data Mark-Up Languages
  • Participate in design and implementation of OLAP databases to serve internal and external consumer use cases
  • Design and implement hybrid data cloud services, leveraging public could providers (i.e., Azure) and specialty providers (i.e., Snowflake)
  • Understand and implement Generative AI solutions within the context of developer assistance and data visualization product delivery
  • Support the development of enterprise data visualization strategy ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
  • Support enterprise data governance initiatives
  • Strong experience in working with and optimizing enterprise reporting
  • Exceptional analytical skills and strong attention to detail
  • Ability to prioritize, plan and take initiative
  • Highly self-motivated and directed
  • Experience in a high availability environment preferred
  • Knowledge of ITIL/ITSM Foundational practices and framework preferred
  • Strong Vendor management skills preferred
  • Strong understanding of Salesforce Financial Services Cloud data object model preferred
  • Data Engineering Tools/Platforms
    • Platform/Framework (Snowflake, Azure MSSQL)
    • Visualization (Tableau, PowerBI, SSRS)
    • Governance (Data.World, Atlan, Alation)
  • Problem-Solving and Analytical Skills: Data engineers must possess strong problem-solving abilities and the capacity to analyze complex technical challenges. They should be able to break down problems into manageable components and devise effective solutions
  • Software Product Development Lifecycle: Familiarity with the software development lifecycle (SDLC) is crucial. This includes understanding requirements gathering, system design, implementation, testing, deployment, and maintenance in an Agile/Scaled Agile manner. Experience with Scrum, Kanban, Extreme Programming, or other outcome based iterative development approach required
  • Knowledge of Development Tools and Frameworks: Data engineers should be proficient in using development tools and frameworks relevant to their domain. This can include version control systems (e.g., Git), integrated development environments (e.g., Visual Studio Code, IntelliJ), and frameworks specific to data platform development
  • Collaboration and Communication: Effective collaboration with cross-functional teams is vital for data engineers. Strong communication skills, both written and verbal, enable them to clearly express ideas, collaborate with colleagues, and convey technical concepts to non-technical stakeholders
  • Continuous Learning: The field of software engineering is constantly evolving, so a mindset of continuous learning is crucial. Staying updated with new technologies, programming languages, frameworks, and industry trends is highly valued
  • Testing and Debugging: Proficiency in automated software testing techniques, including unit testing, integration testing, and debugging, is important for ensuring the reliability and quality of software applications
  • Knowledge of Security Best Practices: Strong understanding of secure coding practices and the ability to apply them effectively in software development. Ability to implement security controls, conduct code reviews, and perform security-focused testing, ensuring adherence to industry standards and minimizing the risk of potential exploits
  • Compliance: Familiarity with regulatory compliance requirements and industry-specific security standards, such as GDPR, HIPAA, PCI-DSS, and ISO 27001. Ability to design and implement software solutions that meet these compliance standards, ensuring the protection of sensitive data and maintaining regulatory compliance
  • System Design and Architecture: Data engineers should have a solid understanding of data platform system design principles and architecture patterns. This includes scalability, performance optimization, and the ability to design robust and efficient software systems
  • Adaptability and Flexibility: Data engineers often encounter changing requirements, tight deadlines, and evolving technologies. Being adaptable, flexible, and able to quickly learn and adapt to new tools and frameworks is crucial

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