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Remote Variable Data Programmer Jobs in Illinois

Cayuse Holdings, LLC

$28 - $30/hr

Data Scientist/Engineer Location ... Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ...

Omron

Data Scientist Intern

Hoffman Estates, IL · On-site +1

Hybrid/Remote Duration: Summer 2026 Position Overview We are seeking a motivated and detail ... The intern will work closely with business stakeholders, data engineers, and analytics teams to ...

Independencepetgroup

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main Responsibilities: * Design, build, and scale cloud-based data platforms and pipelines (batch and streaming) to support ...

APN Consulting Inc

Data Architect (P&C insurance)

Chicago, IL · Remote

$65.75 - $84.50/hr

Madison, WI or Chicago, IL (Remote will work) Type: Contract Strong experience of implementing data ... business, data engineering, and platform teams to enable Insights creation for delivering more ...

APN Consulting Inc

Data Architect (P&C insurance)

Chicago, IL · Remote

$64 - $82.50/hr

Madison, WI or Chicago, IL (Remote will work) Type: Contract Strong experience of implementing data ... business, data engineering, and platform teams to enable Insights creation for delivering more ...

APN Consulting Inc

Data Architect (P&C insurance)

Chicago, IL · Remote

$65.75 - $84.50/hr

Madison, WI or Chicago, IL (Remote will work) Type: Contract Strong experience of implementing data ... business, data engineering, and platform teams to enable Insights creation for delivering more ...

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All JobsVariable Data Programmer JobsRemote Variable Data Programmer JobsRemote Variable Data Programmer Jobs in Illinois

Remote Variable Data Programmer information

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

Data Scientist/Engineer

Cayuse Holdings, LLC

Remote

$28 - $30/hr

Other

Posted 25 days ago

Job description

Overview
Job Title: Data Scientist/Engineer
Location: Remote
Type: Corp to Corp
Start Date: ASAP
Pay Rate: $28-$30 per hour
Contract Length: 12 months - potential conversion to FTE
**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
Responsibilities
Data Engineering
  • Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
  • Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
  • Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
Machine Learning Support
  • Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
  • Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
  • Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
Data Analysis and Preprocessing
  • Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure Data Factory
  • Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
  • Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
General Responsibilities
    • Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
    • Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
    • Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.

Qualifications
  • Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
  • Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
  • Familiarity with data transformation, ingestion techniques, and data quality methodologies.
  • Proficiency in programming languages such as Python or Scala for data processing and ML integration.
  • Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
  • Solid understanding of machine learning lifecycle management and model deployment in production environments.
  • Strong problem-solving skills with experience detecting and addressing data anomalies.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l aw.
Pay Range
USD $28.00 - USD $30.00 /Hr.

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