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Variable Data Programmer Jobs in California (NOW HIRING)

SR. Data Engineer

San Diego, CA ยท On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and ... variable quality and predictability * Create data products, enabling self-service and ...

Cloud Data Engineer

San Jose, CA ยท On-site

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will ... Variable incentives may also be offered." Information about employee benefits offered in the US can ...

Cloud Data Engineer

San Jose, CA

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will ... Variable incentives may also be offered." Information about employee benefits offered in the US can ...

... variable IDs, metadata standards, and ontology mappings * Build data models that support multi ... Work with ML engineers and application teams to ensure the knowledge graph infrastructure supports ...

... variable IDs, metadata standards, and ontology mappings * Build data models that support multi ... Work with ML engineers and application teams to ensure the knowledge graph infrastructure supports ...

Lead Data Infrastructure Engineer

San Mateo, CA ยท On-site +1

$230K - $260K/yr

We work with data that is highly variable across partners and regions, requiring thoughtful system ... AS OUR LEAD DATA ENGINEER, YOU WILL OWN * Data platform, end to end: Own the design, evolution, and ...

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Variable Data Programmer information

See California salary details

$15

$27

$46

How much do variable data programmer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for variable data programmer in California is $27.77, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $29.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Variable Data Programmer position, and why are they important?

To thrive as a Variable Data Programmer, you need a solid background in programming languages (such as SQL, JavaScript, or Python), strong data manipulation skills, and familiarity with print production or direct mail environments. Experience with variable data printing software (like EFI Fiery, XMPie, or Quadient Inspire) and knowledge of workflow automation tools are highly valued, and certifications in these platforms can enhance your qualifications. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for managing complex variable data projects and working with cross-functional teams. These skills are critical for ensuring accurate, efficient, and customized data-driven output in high-volume, deadline-driven production settings.

What are some common challenges Variable Data Programmers face, and how are they addressed?

Variable Data Programmers often encounter challenges such as handling large and complex data sets, ensuring precise personalization, and troubleshooting data or formatting errors in print and digital outputs. Success in this role requires a meticulous approach to data validation, rigorous testing of templates, and efficient communication with designers, account managers, and IT staff to resolve any issues quickly. Many organizations invest in ongoing training and collaborative workflow tools to help programmers stay updated on best practices. By leveraging advanced software, thorough quality checks, and strong teamwork, most common challenges can be managed effectively, ensuring a smooth and accurate production process.

What is a Variable Data Programmer job?

A Variable Data Programmer is responsible for creating and managing dynamic, data-driven print and digital communications. They use specialized software to integrate variable text, images, and barcodes into templates for personalized output. This role requires expertise in programming languages like JavaScript, VBScript, or SQL, as well as proficiency in data manipulation and workflow automation. Their work is commonly used in direct mail, billing statements, and marketing materials to ensure accurate and efficient customization.

What are the most commonly searched types of Variable Data Programmer jobs in California? The most popular types of Variable Data Programmer jobs in California are:
What are popular job titles related to Variable Data Programmer jobs in California? For Variable Data Programmer jobs in California, the most frequently searched job titles are:
What job categories do people searching Variable Data Programmer jobs in California look for? The top searched job categories for Variable Data Programmer jobs in California are:
Infographic showing various Variable Data Programmer job openings in California as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,770 per year, or $27.8 per hour.
SR. Data Engineer

SR. Data Engineer

Apex Informatics

San Diego, CA โ€ข On-site, Remote

$121K - $146K/yr

Other

Posted 25 days ago


Job description

Senior Data Engineer
Cupertino, CA or Austin, TX
Onsite role
Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or Spark.
We are seeking an experienced, detail-minded data engineer to support Apple's worldwide business development and strategy team. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us.
Requirements
  • 6+ years software engineering, including strong SQL and data focus
  • Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
  • Ability to analyze complex datasets and design solutions with optimum quality and efficiency
  • Familiarity with SDLC best practices, version control, CI/CD

Description
You will architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions.
  • Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
  • Create data products, enabling self-service and predictability by any consumer
  • Build libraries and frameworks that drive leverage and productivity for the entire team
  • Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence

We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams.
Preferred Qualifications
  • BS or MS in Engineering/ Computer Science
  • Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.
  • Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes).