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Remote Variable Data Programmer Jobs in Michigan

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

We're looking for a Principal Data Engineer to own the technical direction and execution of our data engineering platform. This role is responsible for setting architectural direction for the data ...

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... data engineering, particularly with PySpark, Python and SQL. • Experience designing and ...

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

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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 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 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 Michigan? For Remote Variable Data Programmer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Variable Data Programmer jobs in Michigan look for? The top searched job categories for Remote Variable Data Programmer jobs in Michigan are:
What cities in Michigan are hiring for Remote Variable Data Programmer jobs? Cities in Michigan with the most Remote Variable Data Programmer job openings:
Senior Data Engineer (Snowflake + DBT)

Senior Data Engineer (Snowflake + DBT)

CMK Resources Inc

Troy, MI • On-site, Remote

$107.30K - $128.90K/yr

Other

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


Job description

CMK Resources is seeking a Senior Data Engineer (Snowflake + DBT required) for a client based in Michigan. This role supports analytics and data-platform initiatives that enable better health outcomes and efficient benefit management that our client seeks to improve for in-home healthcare providers and members.
Location: Detroit metro preferred (Troy, MI) - hybrid onsite Thursdays; remote possible if needed but candidate must meet most requirements
Eligibility: US Citizen or Green Card only
Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
  • Build and optimize data models in Snowflake to support BI, reporting, and analytics.
  • Implement ETL/ELT workflows with dbt to transform raw data into analytics-ready datasets.
  • Tune Snowflake queries, storage/compute usage, and dbt models for performance and cost efficiency.
  • Integrate Snowflake with diverse internal systems and third-party data sources.
  • Implement data quality checks, monitoring, and validation processes.
  • Collaborate with data analysts, data scientists, engineers, and business stakeholders to translate requirements into solutions.
  • Produce and maintain clear documentation for data models, transformations, and pipeline designs.
Required skills & qualifications
  • 5+ years hands-on data engineering experience.
  • Expert SQL skills - writing, optimizing, and debugging complex queries.
  • Proven hands-on Snowflake experience (data modeling, query tuning, architecture/integration).
  • In-depth dbt experience (models, macros, tests, CI/CD/workflow orchestration).
  • Solid understanding of cloud data warehousing concepts and best practices.
  • Experience with ETL/ELT patterns, data quality frameworks, and observability/monitoring.
  • Strong analytical, problem-solving, and communication skills; able to work cross-functionally.
Nice-to-haves
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Familiarity with BI tools (Looker, Tableau, Power BI) and analytics consumption patterns.
  • Python or another scripting language for data engineering tasks.
  • Prior experience in healthcare, claims, or DMEPOS/benefits environments.