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Remote Variable Data Programmer Jobs in San Jose, CA

Senior Data Engineer

San Francisco, CA · On-site +1

$124K - $169K/yr

Learn more in our CEO's funding announcement: We're a small, remote-first team. We take ownership ... We practice software engineering for data . Pipelines are code with tests, CI/CD, and ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Senior Data Scientist

Mountain View, CA · On-site +1

$161K - $274K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience Completed Data Engineering Professional certification & required classes Hands-on experience in ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience • Completed Data Engineering Professional certification & required classes • Hands-on ...

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Additionally, you will work closely with data engineering to deploy and monitor your work. This ... This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ...

Senior Data Visualization Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We're looking for a spatial thinker with a passion for remote sensing analysis and visual ... Ability programming with Python to analyze geospatial data and interact with APIs * Extensive ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... algorithms, remote contactless biosensing together with end-to-end engineering services, and ... Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ...

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... You will work closely with data scientists, machine learning engineers, operations research ...

Showing results 41-60

Remote Variable Data Programmer information

See San Jose, CA salary details

$18

$32

$54

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

As of Sep 5, 2026, the average hourly pay for remote variable data programmer in San Jose, CA is $32.98, according to ZipRecruiter salary data. Most workers in this role earn between $25.34 and $34.95 per hour, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a remote variable data programmer?

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 are popular job titles related to Remote Variable Data Programmer jobs in San Jose, CA?

For Remote Variable Data Programmer jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Remote Variable Data Programmer jobs in San Jose, CA look for?

The top searched job categories for Remote Variable Data Programmer jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Remote Variable Data Programmer jobs?

Cities near San Jose, CA with the most Remote Variable Data Programmer job openings:

Infographic showing various Remote Variable Data Programmer job openings in San Jose, CA as of August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,604 per year, or $33 per hour.

Senior Data Engineer

Runpod Inc

San Francisco, CA • On-site, Remote

$124K - $169K/yr

Full-time

PTO

Posted 22 days ago


Key responsibilities

  • Own the design, implementation, and operation of data pipelines end to end, including batch and near-real-time streaming ingestion into Snowflake, transforms in dbt, and supporting orchestration and infrastructure.

  • Build well-documented, high-quality data products that are modeled, tested, and relied upon by analytics, finance, and engineering teams for critical decisions.

  • Diagnose, optimize, and troubleshoot production data incidents, including root-cause analysis, assessing impact, fixing issues, and verifying downstream effects.


Job description

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on. Learn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.
We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.
We practice software engineering for data. Pipelines are code with tests, CI/CD, and infrastructure-as-code behind them. Schema changes flow through automated migration tooling. Data quality is an engineered property of the system, not a dashboard someone checks. As a Senior Data Engineer, you will own ingestion pipelines end to end, from source system to warehouse to modeled, well-documented data products, across our stack of Snowflake, dbt, Dagster, Terraform, and AWS.
You will also work in one of the most AI-forward engineering environments anywhere. We operate production autonomous agents that triage incidents, review data, and ship code alongside us. You'll delegate real work to agents, review their output critically, and extend the shared knowledge and tooling they run on. We're looking for a strong software engineer who chose to specialize in data and is genuinely energized by working this way.
Responsibilities:
  • Own the design, implementation, and operation of data pipelines end to end: batch and near-real-time streaming ingestion into Snowflake, bronze-to-silver transforms in dbt, and the orchestration and infrastructure that support them.
  • Build well-documented, high-quality data products that are modeled, tested, and easy to understand, and that analytics, finance, and engineering teams rely on for critical decisions.
  • Treat data quality and observability as part of every deliverable: dbt tests, freshness and anomaly monitoring, lineage, and alerting that stays trustworthy. A noisy alert is a defect.
  • Diagnose and optimize warehouse cost and performance across query profiles, clustering, and warehouse sizing, and verify claims with measurement before shipping changes.
  • Debug production data incidents independently: root-cause across the pipeline, assess blast radius, fix, and verify downstream impact.
  • Manage infrastructure as code (Terraform for AWS and Snowflake) with the discipline that entails. In our world, merge is deploy.
  • Work daily with AI agents: delegate well-scoped work, verify and own the correctness of AI-assisted output, and contribute skills and documentation that make the agents (and the humans) more effective.
  • Partner cross-functionally to turn business questions into data requirements, and data requirements into shipped, maintained systems.

Requirements:
  • 5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments.
  • Strong Python and advanced SQL, applied with an engineer's discipline: code that is tested, reviewed, and built to be maintained. Fluency in other languages is a plus (e.g. Go, Rust, Scala).
  • Hands-on depth in a modern MPP/OLAP warehouse or query engine, including the internals: query profiling, clustering and partitioning, cost attribution, and performance tuning. Snowflake preferred; experience with Trino, ClickHouse, Spark, BigQuery, or similar also counts.
  • Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent.
  • A track record of owning systems in production: monitoring, incident response, and the follow-through to leave things better than you found them.
  • Demonstrated ability to use AI tools to improve the speed and quality of your work, with critical evaluation and verification of AI-assisted output.
  • Excellent written communication. On a small distributed team working with agents, clear documentation is how decisions propagate.

Nice to Have:
  • Infrastructure-as-code experience (Terraform preferred) and comfort operating in AWS.
  • Experience with streaming or near-real-time ingestion (Kinesis, Kafka, Snowpipe Streaming, or similar).
  • Experience building with LLMs or agent frameworks (tool use, orchestration, evaluation).
  • Startup experience: comfort with ambiguity, breadth, and shipping the MVP.

What You'll Receive:
  • The competitive base pay for this position ranges from 175,000- 220,000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location
  • Meaningful equity in a fast-growing company- everyone on the team receives stock options - your impact drives our growth, and you share in the upside.
  • Flexible PTO- take the time you need to recharge
  • Most roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication
  • Join a passionate team on the cutting edge of AI infrastructure - where culture, learning, and ownership are at the heart of how we scale.
  • $1,200 Home Office & Equipment Stipend-We set you up for success from day one with gear and support to create your ideal workspace

Runpod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer, Runpod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, protected veteran status, disability status, or any other characteristic protected by law. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas