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Remote Variable Data Programmer Jobs in Arizona (NOW HIRING)

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions ...

Insight

$150K/yr

This is a remote work opportunity Salary: $150,000 annually Insight at a Glance * 14,000+ engaged ... Programming: Proficient in Python and SQL. Familiarity with Java is a plus. * Data Platforms ...

Virtuous Software

Data Migration Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

While this role is open to remote candidates within the US, we're initially prioritizing candidates ... Position Summary A Virtuous Data Migration Engineer will be in charge of extracting, mapping ...

Agile Defense

Data Scientist - A365

Fort Huachuca, AZ · On-site +1

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Solid programming skills in languages such as Python or R is a plus. * Experience with SQL ...

Agile Defense

$85K - $95K/yr

Data Scientist - A365 Location: Remote Clearance Level: Secret, Must Have Clearance to Start ... Solid programming skills in languages such as Python or R is a plus. * Experience with SQL ...

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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 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 Arizona? For Remote Variable Data Programmer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Remote Variable Data Programmer jobs in Arizona look for? The top searched job categories for Remote Variable Data Programmer jobs in Arizona are:
What cities in Arizona are hiring for Remote Variable Data Programmer jobs? Cities in Arizona with the most Remote Variable Data Programmer job openings:
Remote Variable Data Programmer jobs near you
Lead Data & AI Engineer

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 6 days ago

Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Senior Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.